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Author

P. Friedman

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Open access Oct 2026

Electrocardiographic aging based on artificial intelligence and the risk of heart failure and its subtypes: a multi-national study

Prior studies suggest that artificial intelligence (AI) can infer “biological age” from the electrocardiogram (ECG), and that this ECG-derived aging signal may improve cardiovascular risk prediction. To evaluate whether AI-estimated ECG aging is associated with the risk of incident HF overall and with subt...

S. Chung, Seng-Chan You, S. Cho et al. · 0 citations

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