Systems and methods for a deep neural network to enhance prediction of patient endpoints using videos of the heart
US11957507B2 · kind B2 · utility
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30Claims
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Key dates
| Filing date | Nov 16, 2020 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Nov 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30104
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for determining a predicted risk level of a clinical endpoint for a predetermined time period for a patient is provided by the present disclosure. The method includes receiving video frames of a heart, the video frames being associated with the patient, receiving electronic health record data including a number of variables associated with the patient, providing the video frames and the electronic health record data to the trained neural network, receiving a risk score from the trained neural network, and outputting a report based on the risk score to at least one of a display or a memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.