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WO2022241190A3 - Machine learning-based systems and methods for extracting information from pathology reports - Google Patents

Machine learning-based systems and methods for extracting information from pathology reports Download PDF

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Publication number
WO2022241190A3
WO2022241190A3 PCT/US2022/029142 US2022029142W WO2022241190A3 WO 2022241190 A3 WO2022241190 A3 WO 2022241190A3 US 2022029142 W US2022029142 W US 2022029142W WO 2022241190 A3 WO2022241190 A3 WO 2022241190A3
Authority
WO
WIPO (PCT)
Prior art keywords
machine learning
methods
extracting information
based systems
pathology
Prior art date
Application number
PCT/US2022/029142
Other languages
French (fr)
Other versions
WO2022241190A2 (en
Inventor
Ross Mitchell
Original Assignee
H. Lee Moffitt Cancer Center And Research Institute, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by H. Lee Moffitt Cancer Center And Research Institute, Inc. filed Critical H. Lee Moffitt Cancer Center And Research Institute, Inc.
Publication of WO2022241190A2 publication Critical patent/WO2022241190A2/en
Publication of WO2022241190A3 publication Critical patent/WO2022241190A3/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medicinal Chemistry (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

Described herein are machine learning-based systems and methods for extracting information from pathology reports are related machine learning model training methods. Also described herein are machine learning-based systems and methods for predicting site and histology codes for a disease. An example system for automatically extracting information from pathology reports includes a transformer-based machine learning model, and a computing device. The computing device includes a processor and a memory operably coupled to the processor, and the memory having computer-executable instructions stored thereon. The computing device is configured to receive a pathology report, transmit the pathology report to the transformer-based machine learning model, and receive at least one of a site description or a histology description for a disease. The transformer-based machine learning model is configured to extract the at least one of the site description or the histology description from the pathology report.
PCT/US2022/029142 2021-05-14 2022-05-13 Machine learning-based systems and methods for extracting information from pathology reports WO2022241190A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163188611P 2021-05-14 2021-05-14
US63/188,611 2021-05-14

Publications (2)

Publication Number Publication Date
WO2022241190A2 WO2022241190A2 (en) 2022-11-17
WO2022241190A3 true WO2022241190A3 (en) 2022-12-22

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2022/029142 WO2022241190A2 (en) 2021-05-14 2022-05-13 Machine learning-based systems and methods for extracting information from pathology reports

Country Status (1)

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WO (1) WO2022241190A2 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11763589B1 (en) * 2023-01-31 2023-09-19 Intuit Inc. Detection of blanks in documents
CN117454990B (en) * 2023-11-14 2024-07-30 生命奇点(北京)科技有限公司 System for updating electronic medical record question-answer model based on feedback result

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170220743A1 (en) * 2014-02-19 2017-08-03 Indiana University Research And Technology Corporation Tracking real-time assessment of quality monitoring in endoscopy
US20200272864A1 (en) * 2017-11-06 2020-08-27 University Health Network Platform, device and process for annotation and classification of tissue specimens using convolutional neural network
US20200411141A1 (en) * 2018-02-27 2020-12-31 Verana Health, Inc. Computer implemented ophthalmology site selection and patient identification tools
US20210035687A1 (en) * 2019-07-31 2021-02-04 Coreline Soft Co., Ltd. Medical image reading assistant apparatus and method providing hanging protocols based on medical use artificial neural network
US20210090694A1 (en) * 2019-09-19 2021-03-25 Tempus Labs Data based cancer research and treatment systems and methods

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170220743A1 (en) * 2014-02-19 2017-08-03 Indiana University Research And Technology Corporation Tracking real-time assessment of quality monitoring in endoscopy
US20200272864A1 (en) * 2017-11-06 2020-08-27 University Health Network Platform, device and process for annotation and classification of tissue specimens using convolutional neural network
US20200411141A1 (en) * 2018-02-27 2020-12-31 Verana Health, Inc. Computer implemented ophthalmology site selection and patient identification tools
US20210035687A1 (en) * 2019-07-31 2021-02-04 Coreline Soft Co., Ltd. Medical image reading assistant apparatus and method providing hanging protocols based on medical use artificial neural network
US20210090694A1 (en) * 2019-09-19 2021-03-25 Tempus Labs Data based cancer research and treatment systems and methods

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
GHASSEMI MARZYEH, RAVINDRA NEAL, SEHANOBISH ARIJIT, PAPPALARDO JENNA L., HAFLER DAVID A., VAN DIJK DAVID: "Disease state prediction from single-cell data using graph attention networks", PROCEEDINGS OF THE ACM CONFERENCE ON HEALTH, INFERENCE, AND LEARNING, 2 April 2020 (2020-04-02), pages 121 - 130, XP058454028, Retrieved from the Internet <URL:https://dl.acm.org/doi/pdf/10.1145/3368555.3384449> [retrieved on 20221005] *

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Publication number Publication date
WO2022241190A2 (en) 2022-11-17

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