Evidium, Inc.

United States of America

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2026 September (MTD) 5
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IPC Class
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records 15
G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines 11
G06F 40/40 - Processing or translation of natural language 9
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems 5
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients 2
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NICE Class
42 - Scientific, technological and industrial services, research and design 16
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services 13
09 - Scientific and electric apparatus and instruments 11
10 - Medical apparatus and instruments 3
Status
Pending 17
Registered / In Force 14

1.

COMPUTATIONAL MEDICAL GUIDELINES AND CONNECTED KNOWLEDGE GRAPH FOR PREDICTING PATIENT STATE

      
Application Number 19566621
Status Pending
Filing Date 2026-03-13
First Publication Date 2026-09-17
Owner Evidium, Inc. (USA)
Inventor
  • Saxena, Arnav
  • Stipp, Wian
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Lee, Jennifer May
  • Mathai, Ashwini
  • Thomas, Sean
  • Bate, Carl

Abstract

A computational platform includes a clinical knowledge graph having medical condition nodes to which are linked factor nodes and investigation nodes. Medical guideline nodes linked to a medical condition represent a computational guideline. Observation nodes and laboratory test nodes within the guideline link to factor nodes or investigation nodes. Therapy ingredient nodes represent drugs with a guideline. A patient is diagnosed or treated by traversing the guideline nodes associated with a particular condition. Probabilities annotated upon edges facilitate predicting a future patient state. Use cases include queries from a clinician, an insurance claims database, or an LLM, generation of FHIR value sets, and generation of executable CQL for a medical guideline. The knowledge graph receives a medical query, executes it and outputs a result. A medical condition ontology with factors and investigations connects to an ontology representing a computational medical guideline. Elemental therapeutic intervention nodes represent drug or nondrug therapies.

IPC Classes  ?

  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

2.

COMPUTATIONAL MEDICAL GUIDELINES AND CONNECTED KNOWLEDGE GRAPH FOR DIAGNOSIS AND TREATMENT USING STORED PRIOR TRAVERSALS

      
Application Number 19566642
Status Pending
Filing Date 2026-03-13
First Publication Date 2026-09-17
Owner Evidium, Inc. (USA)
Inventor
  • Saxena, Arnav
  • Stipp, Wian
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Lee, Jennifer May
  • Mathai, Ashwini
  • Thomas, Sean
  • Bate, Carl

Abstract

A computational platform includes a clinical knowledge graph having medical condition nodes to which are linked factor nodes and investigation nodes. Medical guideline nodes linked to a medical condition represent a computational guideline. Observation nodes and laboratory test nodes within the guideline link to factor nodes or investigation nodes. Therapy ingredient nodes represent drugs with a guideline. A patient is diagnosed or treated by traversing the guideline nodes associated with a particular condition. Probabilities annotated upon edges facilitate predicting a future patient state. Use cases include queries from a clinician, an insurance claims database, or an LLM, generation of FHIR value sets, and generation of executable CQL for a medical guideline. The knowledge graph receives a medical query, executes it and outputs a result. A medical condition ontology with factors and investigations connects to an ontology representing a computational medical guideline. Elemental therapeutic intervention nodes represent drug or nondrug therapies.

IPC Classes  ?

  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

3.

COMPUTATIONAL MEDICAL GUIDELINES AND CONNECTED KNOWLEDGE GRAPH FOR LLM QUERY, VALUE SET REQUEST AND CODE GENERATION

      
Application Number 19566633
Status Pending
Filing Date 2026-03-13
First Publication Date 2026-09-17
Owner Evidium, Inc. (USA)
Inventor
  • Saxena, Arnav
  • Stipp, Wian
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Lee, Jennifer May
  • Mathai, Ashwini
  • Thomas, Sean
  • Bate, Carl

Abstract

A computational platform includes a clinical knowledge graph having medical condition nodes to which are linked factor nodes and investigation nodes. Medical guideline nodes linked to a medical condition represent a computational guideline. Observation nodes and laboratory test nodes within the guideline link to factor nodes or investigation nodes. Therapy ingredient nodes represent drugs with a guideline. A patient is diagnosed or treated by traversing the guideline nodes associated with a particular condition. Probabilities annotated upon edges facilitate predicting a future patient state. Use cases include queries from a clinician, an insurance claims database, or an LLM, generation of FHIR value sets, and generation of executable CQL for a medical guideline. The knowledge graph receives a medical query, executes it and outputs a result. A medical condition ontology with factors and investigations connects to an ontology representing a computational medical guideline. Elemental therapeutic intervention nodes represent drug or nondrug therapies.

IPC Classes  ?

  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

4.

COMPUTATIONAL MEDICAL GUIDELINES AND CONNECTED KNOWLEDGE GRAPH FOR DIAGNOSIS AND TREATMENT

      
Application Number 19566611
Status Pending
Filing Date 2026-03-13
First Publication Date 2026-09-17
Owner Evidium, Inc. (USA)
Inventor
  • Saxena, Arnav
  • Stipp, Wian
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Lee, Jennifer May
  • Mathai, Ashwini
  • Thomas, Sean
  • Bate, Carl

Abstract

A computational platform includes a clinical knowledge graph having medical condition nodes to which are linked factor nodes and investigation nodes. Medical guideline nodes linked to a medical condition represent a computational guideline. Observation nodes and laboratory test nodes within the guideline link to factor nodes or investigation nodes. Therapy ingredient nodes represent drugs with a guideline. A patient is diagnosed or treated by traversing the guideline nodes associated with a particular condition. Probabilities annotated upon edges facilitate predicting a future patient state. Use cases include queries from a clinician, an insurance claims database, or an LLM, generation of FHIR value sets, and generation of executable CQL for a medical guideline. The knowledge graph receives a medical query, executes it and outputs a result. A medical condition ontology with factors and investigations connects to an ontology representing a computational medical guideline. Elemental therapeutic intervention nodes represent drug or nondrug therapies.

IPC Classes  ?

  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

5.

COMPUTATIONAL MEDICAL GUIDELINES AND CONNECTED KNOWLEDGE GRAPH FOR QUERY, TRAVERSAL AND INFERENCE

      
Application Number 19566590
Status Pending
Filing Date 2026-03-13
First Publication Date 2026-09-17
Owner Evidium, Inc. (USA)
Inventor
  • Saxena, Arnav
  • Stipp, Wian
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Lee, Jennifer May
  • Mathai, Ashwini
  • Thomas, Sean
  • Bate, Carl

Abstract

A computational platform includes a clinical knowledge graph having medical condition nodes to which are linked factor nodes and investigation nodes. Medical guideline nodes linked to a medical condition represent a computational guideline. Observation nodes and laboratory test nodes within the guideline link to factor nodes or investigation nodes. Therapy ingredient nodes represent drugs with a guideline. A patient is diagnosed or treated by traversing the guideline nodes associated with a particular condition. Probabilities annotated upon edges facilitate predicting a future patient state. Use cases include queries from a clinician, an insurance claims database, or an LLM, generation of FHIR value sets, and generation of executable CQL for a medical guideline. The knowledge graph receives a medical query, executes it and outputs a result. A medical condition ontology with factors and investigations connects to an ontology representing a computational medical guideline. Elemental therapeutic intervention nodes represent drug or nondrug therapies.

IPC Classes  ?

  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
  • G16H 70/60 - ICT specially adapted for the handling or processing of medical references relating to pathologies

6.

Miscellaneous Design

      
Application Number 1910167
Status Registered
Filing Date 2026-02-09
Registration Date 2026-02-09
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, providing suggestions to help optimize current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on hypotheses against patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; Software as a service (SAAS) services featuring software using artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for assisting medical decision support across all health fields; online non-downloadable software for receiving voice input of symptoms and transcribing input for medical diagnostic purposes. Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing medical information in the nature of a recommendation engine on the Internet via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; providing an online searchable database featuring health-related information in the field of medical diagnosis and treatment.

7.

Translation of medical evidence into computational evidence and applications thereof

      
Application Number 19387112
Grant Number 12725716
Status In Force
Filing Date 2025-11-12
First Publication Date 2026-03-12
Grant Date 2026-09-01
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G06F 40/40 - Processing or translation of natural language
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

8.

EM

      
Application Number 246496700
Status Pending
Filing Date 2026-02-09
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

(1) Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, providing suggestions to help optimize current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on hypotheses against patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; Software as a service (SAAS) services featuring software using artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for assisting medical decision support across all health fields; online non-downloadable software for receiving voice input of symptoms and transcribing input for medical diagnostic purposes. (2) Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing medical information in the nature of a recommendation engine on the Internet via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; providing an online searchable database featuring health-related information in the field of medical diagnosis and treatment.

9.

Miscellaneous Design

      
Serial Number 99335021
Status Pending
Filing Date 2025-08-13
Owner Evidium, Inc. (USA)
NICE Classes  ?
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, providing suggestions to help optimize current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on hypotheses against patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; Software as a service (SAAS) services featuring software using artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for assisting medical decision support across all health fields; providing online non-downloadable software for receiving voice input of symptoms and transcribing input for medical diagnostic purposes; providing a website featuring technology that gives medical information through a recommendation engine based on artificial intelligence and algorithms, which features medical information provided by augmented intelligence for medical decision support across all health fields Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing medical information through a recommendation engine on the Internet via a website based on artificial intelligence and algorithms featuring medical information provided by augmented intelligence for medical decision support across all health fields; providing an online searchable database featuring health-related information in the field of medical diagnosis and treatment

10.

Translation of medical evidence into computational evidence and applications thereof

      
Application Number 19092400
Grant Number 12640274
Status In Force
Filing Date 2025-03-27
First Publication Date 2025-08-07
Grant Date 2026-05-26
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G06F 40/40 - Processing or translation of natural language
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

11.

Determining a next-best action across medical conditions

      
Application Number 19188918
Grant Number 12525362
Status In Force
Filing Date 2025-04-24
First Publication Date 2025-08-07
Grant Date 2026-01-13
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G06F 40/40 - Processing or translation of natural language
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

12.

Translation of medical evidence into computational evidence and applications thereof

      
Application Number 19050872
Grant Number 12518883
Status In Force
Filing Date 2025-02-11
First Publication Date 2025-06-12
Grant Date 2026-01-06
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G06F 40/40 - Processing or translation of natural language
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

13.

Translation of medical evidence into computational evidence and applications thereof

      
Application Number 19050862
Grant Number 12542217
Status In Force
Filing Date 2025-02-11
First Publication Date 2025-06-05
Grant Date 2026-02-03
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G06F 40/40 - Processing or translation of natural language
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

14.

Translation of medical evidence into computational evidence and applications thereof

      
Application Number 19045329
Grant Number 12518882
Status In Force
Filing Date 2025-02-04
First Publication Date 2025-06-05
Grant Date 2026-01-06
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G06F 40/40 - Processing or translation of natural language
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

15.

evidium

      
Application Number 1839205
Status Registered
Filing Date 2024-07-22
Registration Date 2024-07-22
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 10 - Medical apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); voice transcription tool, being non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); medical device hardware, namely, mobile devices, namely phones and tablets for medical diagnostic purposes, with embedded software for accessing interface for diagnosis support, medical diagnostic equipment, diagnostic medical devices, Internet-connected medical devices, hardware user-interface for medical diagnosis via a computer or communication network (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); medical device hardware, namely, mobile device, namely phones and tablets for medical diagnostic purposes, with embedded voice transcription software tool for medical diagnosis (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); digital and voice signal processors for mobile devices and for medical diagnosis; a system of interaction, namely, computer hardware with embedded software for diagnostic inquiry for providing insights on and enabling users to explore in real-time diagnostic options, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical mobile devices, namely phones and tablets for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). Medical device diagnostic hardware for use with mobile devices and tablets, namely, medical diagnostic apparatus that receives and uses input of symptoms for medical diagnostic purposes across various health fields, including cancer and diabetes, with embedded non-downloadable software for accessing interface for diagnosis support; Internet-connected medical diagnostic devices that receive input of symptoms and analyze the input for medical diagnostic purposes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); medical diagnostic apparatus incorporating a hardware user-interface for receiving input of symptoms for medical diagnosis across various health fields, including cancer and diabetes, via a computer or communication network; medical diagnostic apparatus in the nature of mobile devices, tablets, and computer hardware with embedded software for providing a system of interaction for diagnostic inquiry, including receiving input of symptoms, for providing medical diagnosis hypotheses for all health fields and providing insights on and enabling users to explore in real-time diagnostic options across all health fields, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical diagnostic mobile devices and tablets (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database in the field of medical diagnosis and treatment (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). Medical services, namely, medical diagnostic services via a computer or communication network; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software and hardware; medical analysis and diagnostic services relating to the treatment of persons; providing medical information in the nature of a recommendation engine for medical information content on the Internet via a website (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations).

16.

evidium

      
Application Number 1837883
Status Registered
Filing Date 2024-07-23
Registration Date 2024-07-23
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 10 - Medical apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); voice transcription tool, being non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); medical device hardware, namely, mobile devices, namely phones and tablets for medical diagnostic purposes, with embedded software for accessing interface for diagnosis support, medical diagnostic equipment, diagnostic medical devices, Internet-connected medical devices, hardware user-interface for medical diagnosis via a computer or communication network (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); medical device hardware, namely, mobile device, namely phones and tablets for medical diagnostic purposes, with embedded voice transcription software tool for medical diagnosis (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); digital and voice signal processors for mobile devices and for medical diagnosis; a system of interaction, namely, computer hardware with embedded software for diagnostic inquiry for providing insights on and enabling users to explore in real-time diagnostic options, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical mobile devices, namely phones and tablets for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). US 026 039 044. G and S: Medical device diagnostic hardware for use with mobile devices and tablets, namely, medical diagnostic apparatus that receives and uses input of symptoms for medical diagnostic purposes across various health fields, including cancer and diabetes, with embedded non-downloadable software for accessing interface for diagnosis support (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); Internet-connected medical diagnostic devices that receive input of symptoms and analyze the input for medical diagnostic purposes; medical diagnostic apparatus incorporating a hardware user-interface for receiving input of symptoms for medical diagnosis across various health fields, including cancer and diabetes, via a computer or communication network; medical diagnostic apparatus in the nature of mobile devices, tablets, and computer hardware with embedded software for providing a system of interaction for diagnostic inquiry, including receiving input of symptoms, for providing medical diagnosis hypotheses for all health fields and providing insights on and enabling users to explore in real-time diagnostic options across all health fields, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical diagnostic mobile devices and tablets (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database in the field of medical diagnosis and treatment (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). Medical services, namely, medical diagnostic services via a computer or communication network; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software and hardware; medical analysis and diagnostic services relating to the treatment of persons; providing medical information in the nature of a recommendation engine for medical information content on the Internet via a website (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations).

17.

EVIDIUM

      
Application Number 1811077
Status Registered
Filing Date 2024-02-12
Registration Date 2024-02-12
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 10 - Medical apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; voice transcription tool, being non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; medical device hardware, namely, mobile devices, namely, phones and tablets for medical diagnostic purposes, with embedded software for accessing interface for diagnosis support, medical diagnostic equipment, diagnostic medical devices, Internet-connected medical devices, hardware user-interface for medical diagnosis via a computer or communication network; medical device hardware, namely, mobile device, namely, phones and tablets for medical diagnostic purposes, with embedded voice transcription software tool for medical diagnosis; digital and voice signal processors for mobile devices and for medical diagnosis; a system of interaction, namely, computer hardware with embedded software for diagnostic inquiry for providing insights on and enabling users to explore in real-time diagnostic options, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical mobile devices, namely, phones and tablets for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); medical device diagnostic hardware for use with mobile devices and tablets, namely, medical diagnostic apparatus that receives and uses input of symptoms for medical diagnostic purposes across various health fields, including cancer and diabetes, with embedded non-downloadable software for accessing interface for diagnosis support; medical diagnostic apparatus in the nature of mobile devices, tablets, and computer hardware with embedded software for providing a system of interaction for diagnostic inquiry, including receiving input of symptoms, for providing medical diagnosis hypotheses for all health fields and providing insights on and enabling users to explore in real-time diagnostic options across all health fields, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical diagnostic mobile devices and tablets. Internet-connected medical diagnostic devices that receive input of symptoms and analyze the input for medical diagnostic purposes; medical diagnostic apparatus incorporating a hardware user-interface for receiving input of symptoms for medical diagnosis across various health fields, including cancer and diabetes, via a computer or communication network. Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database in the field of medical diagnosis and treatment; providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations). Medical services, namely, medical diagnostic services via a computer or communication network; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software and hardware; medical analysis and diagnostic services relating to the treatment of persons; providing medical information in the nature of a recommendation engine for medical information content on the Internet via a website.

18.

EM EVIDIUM

      
Application Number 237815100
Status Pending
Filing Date 2024-07-23
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

(1) Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; voice transcription tool, being non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; medical device hardware, namely, mobile devices, namely phones and tablets for medical diagnostic purposes, with embedded software for accessing interface for diagnosis support, medical diagnostic equipment, diagnostic medical devices, Internet-connected medical devices, hardware user-interface for medical diagnosis via a computer or communication network; medical device hardware, namely, mobile device, namely phones and tablets for medical diagnostic purposes, with embedded voice transcription software tool for medical diagnosis; digital and voice signal processors for mobile devices and for medical diagnosis; a system of interaction, namely, computer hardware with embedded software for diagnostic inquiry for providing insights on and enabling users to explore in real-time diagnostic options, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical mobile devices, namely phones and tablets for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (1) Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database software in the field of medical diagnosis and treatment; providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine software based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields. (2) Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online medical information via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields.

19.

EM EVIDIUM

      
Application Number 237957200
Status Pending
Filing Date 2024-07-22
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

(1) Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; voice transcription tool, being non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; medical device hardware, namely, mobile devices, namely phones and tablets for medical diagnostic purposes, with embedded software for accessing interface for diagnosis support, medical diagnostic equipment, diagnostic medical devices, Internet-connected medical devices, hardware user-interface for medical diagnosis via a computer or communication network; medical device hardware, namely, mobile device, namely phones and tablets for medical diagnostic purposes, with embedded voice transcription software tool for medical diagnosis; digital and voice signal processors for mobile devices and for medical diagnosis; a system of interaction, namely, computer hardware with embedded software for diagnostic inquiry for providing insights on and enabling users to explore in real-time diagnostic options, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical mobile devices, namely phones and tablets for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (1) Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database software in the field of medical diagnosis and treatment; providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine software based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields. (2) Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online medical information via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields.

20.

Determining a next-best action across medical conditions

      
Application Number 18406508
Grant Number 12300392
Status In Force
Filing Date 2024-01-08
First Publication Date 2024-05-09
Grant Date 2025-05-13
Owner Evidium, Inc. (USA)
Inventor
  • Bate, Carl
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G06F 40/40 - Processing or translation of natural language
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

21.

EVIDIUM

      
Serial Number 98417235
Status Pending
Filing Date 2024-02-22
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; digital and voice signal processors for mobile devices and for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable database management software in the field of medical diagnosis and treatment; downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; software as a service (SAAS) services featuring software providing and Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for assisting medical decision support across all health fields; voice transcription tool, being online nondownloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing medical information in the nature of a recommendation engine on the Internet via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; providing an online searchable database featuring health-related information in the field of medical diagnosis and treatment; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease

22.

EVIDIUM

      
Serial Number 98417247
Status Pending
Filing Date 2024-02-22
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; digital and voice signal processors for mobile devices and for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable database management software in the field of medical diagnosis and treatment; downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; software as a service (SAAS) services featuring software providing and Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for assisting medical decision support across all health fields; voice transcription tool, being online nondownloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing medical information in the nature of a recommendation engine on the Internet via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; providing an online searchable database featuring health-related information in the field of medical diagnosis and treatment; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease

23.

EVIDIUM

      
Application Number 235174500
Status Pending
Filing Date 2024-02-12
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

(1) Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; voice transcription tool, being non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; medical device hardware, namely, mobile devices, namely, phones and tablets for medical diagnostic purposes, with embedded software for accessing interface for diagnosis support, medical diagnostic equipment, diagnostic medical devices, Internet-connected medical devices, hardware user-interface for medical diagnosis via a computer or communication network; medical device hardware, namely, mobile device, namely, phones and tablets for medical diagnostic purposes, with embedded voice transcription software tool for medical diagnosis; digital and voice signal processors for mobile devices and for medical diagnosis; a system of interaction, namely, computer hardware with embedded software for diagnostic inquiry for providing insights on and enabling users to explore in real-time diagnostic options, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical mobile devices, namely, phones and tablets for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; medical device diagnostic hardware for use with mobile devices and tablets, namely, medical diagnostic apparatus that receives and uses input of symptoms for medical diagnostic purposes across various health fields, including cancer and diabetes, with embedded non-downloadable software for accessing interface for diagnosis support; medical diagnostic apparatus in the nature of mobile devices, tablets, and computer hardware with embedded software for providing a system of interaction for diagnostic inquiry, including receiving input of symptoms, for providing medical diagnosis hypotheses for all health fields and providing insights on and enabling users to explore in real-time diagnostic options across all health fields, real-time findings, and actions that might best support forming diagnosis hypotheses, namely, medical diagnostic mobile devices and tablets. (1) Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database in the field of medical diagnosis and treatment; providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields (2) Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online medical information via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields.

24.

GLASS

      
Application Number 1764968
Status Registered
Filing Date 2023-10-03
Registration Date 2023-10-03
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields. Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database in the field of medical diagnosis and treatment; providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields.

25.

TRANSLATION OF MEDICAL EVIDENCE INTO COMPUTATIONAL EVIDENCE AND APPLICATIONS THEREOF

      
Application Number 18446954
Status Pending
Filing Date 2023-08-09
First Publication Date 2023-11-30
Owner EVIDIUM, INC. (USA)
Inventor
  • Tulley, Carl Bate
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
  • G06F 40/40 - Processing or translation of natural language
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

26.

TRANSLATION OF MEDICAL EVIDENCE INTO COMPUTATIONAL EVIDENCE AND APPLICATIONS THEREOF

      
Document Number 03256254
Status Pending
Filing Date 2023-04-14
Open to Public Date 2023-10-19
Owner Evidium, Inc. (USA)
Inventor
  • Tulley, Carl Bate
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Book, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G06F 16/36 - Creation of semantic tools, e.g. ontology or thesauri
  • G06F 40/268 - Morphological analysis
  • G06F 40/30 - Semantic analysis
  • G06Q 50/26 - Government or public services
  • G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
  • G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

27.

Translation of medical evidence into computational evidence and applications thereof

      
Application Number 18135026
Grant Number 11869674
Status In Force
Filing Date 2023-04-14
First Publication Date 2023-10-19
Grant Date 2024-01-09
Owner EVIDIUM, INC. (USA)
Inventor
  • Tulley, Carl Bate
  • Stipp, Wian
  • Unger, Thomas
  • Epstein, David A.
  • Mcsorley, Matthew
  • Nakhla, Fady
  • Robinson, David
  • Lee, Jennifer May
  • Böök, Arthur

Abstract

A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

IPC Classes  ?

  • G06F 40/40 - Processing or translation of natural language
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

28.

EVIDIUM

      
Serial Number 98151440
Status Pending
Filing Date 2023-08-25
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Digital and voice signal processors for use with mobile devices and tablets in the nature of a medical diagnostic apparatus that is capable of receiving voice input of symptoms for medical diagnostic purposes; digital and voice signal processors for mobile devices and for medical diagnosis; downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable database management software in the field of medical diagnosis and treatment; downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; all of the foregoing specifically excluding goods used for diagnosis and treatment of veterinary conditions and animal disease Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable computer software for assisting with medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; Software as a service (SAAS) services featuring software using artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for assisting medical decision support across all health fields; voice transcription tool, being online non-downloadable software, for mobile devices and tablets for receiving voice input of symptoms and transcribing the input for medical diagnostic purposes across all health fields; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease Medical services, namely, medical diagnostic services via a computer or communication network using automated algorithms, artificial intelligence, and computational evidence; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; medical analysis and diagnostic services relating to the treatment of persons using Internet-connected computer software applications with automated algorithms, artificial intelligence, and computational evidence for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing medical information in the nature of a recommendation engine on the Internet via a website based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields; providing an online searchable database featuring health-related information in the field of medical diagnosis and treatment; all of the foregoing specifically excluding services for diagnosis and treatment of veterinary conditions and animal disease

29.

GLASS

      
Serial Number 97871071
Status Pending
Filing Date 2023-04-03
Owner EVIDIUM, INC. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software database in the field of medical diagnosis and treatment; downloadable computer software for medical diagnosis and treatment via a computer or communication network; downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; downloadable recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields Providing online non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis and treatment, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the current clinical workflow and downstream healthcare pathway for diagnosis and treatment; providing online non-downloadable medical software for augmenting review of patient data including patient chart by highlighting diagnostic and treatment related factors and connecting to relevant evidence; providing online non-downloadable medical software for enabling users to run scenarios based on their hypotheses against the patient data and mapping to medical evidence; providing online non-downloadable medical software applications for helping determine medical diagnosis, predicting response to treatment, and next-best-treatment; providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; providing an online non-downloadable software database in the field of medical diagnosis and treatment; providing online non-downloadable computer software for medical diagnosis and treatment via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis and treatment; providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions; providing an Internet recommendation engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for medical decision support across all health fields

30.

CLINICAL CO-PILOT

      
Serial Number 97256638
Status Pending
Filing Date 2022-02-07
Owner EVIDIUM, INC. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Providing online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis and treatment; specifically excluding software for medical imaging and imaging software in field of radiation oncology, nuclear medicine, radiology, interventional radiology, theranostics, urology, molecular imaging, neuroimaging, and cardiac imaging; Providing online non-downloadable software using automated algorithms, artificial intelligence, and computational evidence to provide situational awareness and next-best-action suggestions for the understanding, diagnosis, treatment and prevention of medical conditions, all of the foregoing specifically excluding software for medical imaging and imaging software in fields of radiation oncology, nuclear medicine, radiology, interventional radiology, theranostics, urology, molecular imaging, neuroimaging, and cardiac imaging

31.

THINK BETTER MEDICINE

      
Serial Number 97049880
Status Registered
Filing Date 2021-09-28
Registration Date 2024-05-07
Owner EVIDIUM, INC. ()
NICE Classes  ?
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Providing online, non-downloadable medical software for providing situational awareness of pertinent factors relating to diagnosis, in real-time validating or expanding differential diagnosis considerations, and providing suggestions to help optimize the downstream healthcare pathway for diagnosis and treatment; non-downloadable software applications for helping determine medical diagnosis; online non-downloadable real-time recommendation engine software based on artificial intelligence and algorithms for medical diagnosis; Providing an online non-downloadable software database in the field of medical diagnosis; providing online non-downloadable computer software and hardware for medical diagnosis via a computer or communication network; providing online non-downloadable software featuring real-time recommendation engines based on artificial intelligence and algorithms for medical diagnosis; providing an Internet search engine service based on artificial intelligence and algorithms featuring medical information in the field of augmented intelligence for diagnostic decision support across all health fields Medical services, namely, medical diagnostic services via a computer or communication network; providing medical diagnostic services relating to the treatment of persons via Internet-connected computer software and hardware; medical analysis and diagnostic services relating to the treatment of persons; providing medical information in the nature of a recommendation engine for medical information content on the Internet via a website