Invention Grant
- Patent Title: Artificial intelligence based cardiac event predictor systems and methods
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Application No.: US17829357Application Date: 2022-05-31
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Publication No.: US11869668B2Publication Date: 2024-01-09
- Inventor: Arun Nemani , Greg Lee , Steve Steinhubl , Alvaro Ulloa-Cerna
- Applicant: Tempus Labs, Inc. , Geisinger Clinic
- Applicant Address: US IL Chicago
- Assignee: Tempus Labs, Inc.,Geisinger Clinic
- Current Assignee: Tempus Labs, Inc.,Geisinger Clinic
- Current Assignee Address: US IL Chicago; US PA Danville
- Agency: QUARLES & BRADY LLP
- Main IPC: G16H50/30
- IPC: G16H50/30 ; G16H50/20 ; A61B5/318 ; A61B5/00 ; A61B5/28 ; G06F18/214

Abstract:
A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.
Public/Granted literature
- US20220384045A1 Artificial Intelligence Based Cardiac Event Predictor Systems and Methods Public/Granted day:2022-12-01
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