- 专利标题: Artificial intelligence based cardiac event predictor systems and methods
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申请号: US17829356申请日: 2022-05-31
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公开(公告)号: US11657921B2公开(公告)日: 2023-05-23
- 发明人: Noah Zimmerman , Brandon Fornwalt , John Pfeifer , Ruijun Chen , Arun Nemani , Greg Lee , Steve Steinhubl , Christopher Haggerty , Sushravya Raghunath , Alvaro Ulloa-Cerna , Linyuan Jing , Thomas Morland
- 申请人: Tempus Labs, Inc. , Geisinger Clinic
- 申请人地址: US IL Chicago
- 专利权人: Tempus Labs, Inc.,Geisinger Clinic
- 当前专利权人: Tempus Labs, Inc.,Geisinger Clinic
- 当前专利权人地址: US IL Chicago; US PA Danville
- 代理机构: Quarles & Brady LLP
- 主分类号: G16H50/30
- IPC分类号: G16H50/30 ; G16H50/20 ; A61B5/318 ; A61B5/00 ; A61B5/28 ; G06K9/62
摘要:
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.
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