Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes

Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes

BackgroundThere is a paucity of data on artificial intelligence-estimated biological electrocardiography (ECG) heart age (AI ECG-heart age) for predicting cardiovascular outcomes, distinct from the chronological age (CA). We developed a deep learning-based algorithm to estimate the AI ECG-heart age...

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Bibliographic Details
Main Authors: Yong-Soo Baek, Dong-Ho Lee, Yoonsu Jo, Sang-Chul Lee, Wonik Choi, Dae-Hyeok Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
ECG age
heart age
biological ageing
artificial intelligence
mortality
hospitalization
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1137892/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1137892/full

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