RADIOLOGY PEER REVIEW USING ARTIFICIAL INTELLIGENCE WITH REVIEW FEEDBACK

    公开(公告)号:US20230154612A1

    公开(公告)日:2023-05-18

    申请号:US17530435

    申请日:2021-11-18

    CPC classification number: G16H50/20 G16H10/60 G16H15/00 G16H30/40

    Abstract: A method and system is provided for radiology peer review feedback and learning using artificial intelligence. The system includes an electronic processor configured to: receive a set of medical imaging exams with reading physician data and at least one peer review score, train a machine learning algorithm to predict a review score from the medical imaging exam and reading physician data, use the trained machine learning algorithm to represent the medical imaging exam and the reading physician data, store a history of medical imaging exams for a reading physician, receive newly-reviewed medical imaging exam data for the reading physician having a feature vector, find similar medical imaging exams in the history of the medical imaging exams by comparing the feature vector of the newly-reviewed medical imaging exam data with the feature vectors for the medical imaging exams for the reading physician, and provide common review feedback to the reading physician.

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