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Multi-national assessment of clinical factors, genetic scores, and electrocardiogram-based artificial intelligence for atrial fibrillation prediction

31 August 2026 (11:15 - 12:00)
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Congress Presentation Part of: Atrial fibrillation prediction and risk stratification Prevalence and Incidence of Atrial Fibrillation ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Shinwan Kany

The University Medical Center Hamburg-Eppendorf, Hamburg (Germany)

6 More presentations in this session

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Polygenic risk and echocardiographic markers of left atrial dysfunction improve prediction of incident atrial fibrillation: insights from the akershus cardiac examination (ACE) 1950 Study
Doctor M. Solberg (Gjettum, NO)
Abstract
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Body mass index, weight change, and long-term risk of incident atrial fibrillation in a nationwide cohort
Miss Y. Elhayani (Beer Sheva, IL)
Abstract
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Polygenic risk stratifies atrial fibrillation into biologically distinct prognostic phenotypes
Ms E. Ghanbari (Berlin, DE)
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Glycemic control and atrial fibrillation: baseline HbA1c predicts risk, early HbA1c change does not
Miss Y. Elhayani (Beer Sheva, IL)
Abstract
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Multimodal prediction of atrial fibrillation following cardiac surgery using clinical and polygenic scores
Doctor G. Jabbour (Montreal, CA)
Abstract

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Atrial fibrillation prediction and risk stratification

The Event

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ESC Congress 2026

31 August 2026 11:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources
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