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Multinational assessment of traditional and AI-electrocardiography based risk prediction for heart failure in prospective cohort studies

29 August 2025 (16:35 - 16:45)
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Congress Presentation Part of: Heart failure: prediction and prognosis Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Aline Pedroso

Yale School of Medicine, New Haven (United States of America)

3 More presentations in this session

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The prognostic role of fibrosis-4 score in heart failure with reduced ejection fraction
Doctor A. Mohamed (Copenhagen, DK)
Abstract Slides Video
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Long-term prediction of heart failure using an ECG-based fine-tuned self-supervised neural network model identifies 23 genetic loci implicating electrophysiological mechanisms
Doctor J. Ramirez (Zaragoza, ES)
Abstract Slides Video
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Left ventricular filling pressure by artificial intelligence-enabled electrocardiogram, echocardiography, and cardiac catheterization
Doctor G. Tsaban (Rochester, US)
Abstract Slides Video

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Heart failure: prediction and prognosis
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The Event

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ESC Congress 2025

29 August 2025 16:35 CET
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources