医学
心力衰竭
优先次序
内科学
心脏病学
重症监护医学
梅德林
风险评估
急诊医学
预测模型
医疗保健
风险因素
心电图
医疗急救
风险模型
作者
Shaan Khurshid,Samuel F. Friedman,S Kany,Valentina D’Souza,Athar Roshandelpoor,Leah Kosyakovsky,Mandana Chitsazan,Jonathan W. Cunningham,Pulkit Singh,Emily S. Lau,Daniel Pipilas,Mostafa Amer Al-Alusi,J T Ramo,James P. Pirruccello,Christopher Reeder,Jonathan W. Waks,Steven A. Lubitz,Anthony A. Philippakis,Mahnaz Maddah,Patrick T. Ellinor
标识
DOI：10.1161/circheartfailure.125.013927
摘要
ECG2HF is a publicly available 12-lead ECG-based artificial intelligence model that discriminates the risk of future HF with favorable and consistent performance across 3 large health care samples from the northeastern United States. ECG2HF may enable efficient prioritization of high-risk individuals for HF-related preventive measures.
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(2025-6-4)
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