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