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Artificial intelligence-enabled electrocardiogram for left ventricular diastolic dysfunction and long-term risk of new-onset atrial fibrillation

2 September 2024 (10:00 - 10:50)
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Congress Presentation Part of: Prediction of incident atrial fibrillation: from biomarkers to artificial intelligence Prevalence and Incidence of Atrial Fibrillation ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Gal Tsaban

Mayo Clinic, Rochester (United States of America)

6 More presentations in this session

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Impact of changes in proteinuria on the risk of atrial fibrillation in patients with diabetes mellitus: a nationwide population-based study
Doctor H. Rha (Seoul, KR)
Abstract Slides Video
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Proteomic and genomic evaluation of plasma protein biomarkers for atrial fibrillation
Mr O. Vad (Copenhagen, DK)
Abstract Slides Video
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Circulating ketone bodies, genetic predisposition, and incident atrial fibrillation
Ms Y. Sun (Shanghai, CN)
Abstract Slides Video
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Polygenic risk score for prediction of atrial fibrillation according to presence of the hypertrophic cardiomyopathy
Doctor B. Joung (Seoul, KR)
Abstract Slides Video
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Proteinuria and the risk of incident atrial fibrillation according to diabetes stage in patients with diabetes: a nationwide population-based cohort study
Mr M. Yeo (Seoul, KR)
Abstract Slides Video

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Prediction of incident atrial fibrillation: from biomarkers to artificial intelligence

The Event

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ESC Congress 2024

2 September 2024 10:00 CET
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