Invention Grant
- Patent Title: Automatically associating user input with sections of an electronic report using machine learning
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Application No.: US15669177Application Date: 2017-08-04
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Publication No.: US11244746B2Publication Date: 2022-02-08
- Inventor: Murray A. Reicher , Marwan M. Sati , Mark D. Bronkalla , Michael Trambert
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Michael Best & Friedrich LLP
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G16H15/00 ; G06N20/00 ; G16H10/60 ; G16H30/20

Abstract:
Systems and methods for generating electronic reports for medical images. One system includes an electronic processor configured to access a plurality of prior reports associated with a user and automatically generate a mapping using machine learning based on the plurality of prior reports. The mapping associates language included in the plurality of prior reports with at least one section of a report. The system stores the mapping to a memory, receives input from the user for an electronic report associated with a medical image, accesses the mapping from the memory, automatically determines a section in the electronic report associated with the input based on the mapping, and automatically inserts text into the section in the electronic report based on the input.
Public/Granted literature
- US20190042703A1 AUTOMATICALLY ASSOCIATING USER INPUT WITH SECTIONS OF AN ELECTRONIC REPORT USING MACHINE LEARNING Public/Granted day:2019-02-07
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