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公开(公告)号:US20230154612A1
公开(公告)日:2023-05-18
申请号:US17530435
申请日:2021-11-18
Applicant: MERATIVE US L.P.
Inventor: Dustin Michael Sargent , Michael Trambert , Lenward E. Holness, JR. , Dale Seegmiller Maudlin , Sun Young Park
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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公开(公告)号:US20230154592A1
公开(公告)日:2023-05-18
申请号:US17530434
申请日:2021-11-18
Applicant: MERATIVE US L.P.
Inventor: Dustin Michael Sargent , Michael Trambert , Lenward E. Holness, JR. , Dale Seegmiller Maudlin , Sun Young Park
Abstract: A method and system is provided for optimizing radiology peer review exam selection using artificial intelligence. The system includes an electronic processor configured to: receive a set of candidate medical imaging exams with reading physician data, assign the medical imaging exams to at least one peer reviewer, receive peer reviewer data including scores and/or text for the assigned medical imaging exams, update a machine learning algorithm to optimize the assignment of medical imaging exams to the at least one peer reviewer using the received peer reviewer data.
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