Invention Grant
- Patent Title: Machine learning to identify locations of brain injury
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Application No.: US17141436Application Date: 2021-01-05
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Publication No.: US11557400B2Publication Date: 2023-01-17
- Inventor: Julius Fridriksson , Christopher Rorden
- Applicant: UNIVERSITY OF SOUTH CAROLINA
- Applicant Address: US SC Columbia
- Assignee: UNIVERSITY OF SOUTH CAROLINA
- Current Assignee: UNIVERSITY OF SOUTH CAROLINA
- Current Assignee Address: US SC Columbia
- Agency: Dority & Manning, P.A.
- Main IPC: G16H50/30
- IPC: G16H50/30 ; G16H20/40 ; G16H50/70 ; G16H50/50 ; G06N20/00 ; A61N1/36 ; A61B5/00 ; A61B5/369

Abstract:
The present disclosure provides systems and methods that include or otherwise leverage a machine-learned brain injury location model to predict locations of brain injury in a patient based on test data associated with the patient, such as, for example, behavioral test data. For example, the machine-learned brain injury location model can be trained on training data associated with a corpus of patients, where the training data includes sets of example test data (e.g., behavioral test data) respectively labeled with ground truth brain injury locations.
Public/Granted literature
- US20210125727A1 Machine Learning to Identify Locations of Brain Injury Public/Granted day:2021-04-29
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