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AI-enabled ECG risk predicts incident atrial fibrillation with incremental value of AI-estimated heart age: comparison with the CHARGE-AF model from the UK Biobank

12 April 2026 (08:00 - 18:30)
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Congress Presentation Part of: Poster session (1): supraventricular arrhythmias Artificial Intelligence EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

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Associate Professor Yong Soo Baek

Inha University Hospital, Incheon (Korea (Republic of))

196 More presentations in this session

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Electrocardiographic differentiation of narrow QRS complex tachycardia: validation of the new aVL and aVR criteria and a unifying approach to ECG analysis
Doctor J. Stec (Cracow, PL)
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Characterization of paroxysmal atrial fibrillation in atrial septal defects: contribution of a left atrial substrate
Doctor N. Ramdat Misier (Rotterdam, NL)
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Spatial distribution of effective refractory period in atrial fibrillation patients
Associate Professor A. Loewe (Karlsruhe, DE)
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Early onset atrial fibrillation as a marker of inherited cardiomyopathy: lessons from combined imaging and genetic assessment
Doctor V. Rella (Milan, IT)
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BMI discrepancy and new-onset atrial fibrillation: findings from UK biobank
Doctor J. Choi (Seoul, KR)
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Access the full session

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Poster session (1): supraventricular arrhythmias

The Event

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EHRA 2026

12 April 2026 08:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources