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Incident atrial fibrillation prediction using ECG-based deep learning at a specialized tertiary cardiac care center

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: Integration of artificial intelligence in electrocardiography: state of the art Artificial Intelligence ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Gilbert Jabbour

Montreal Heart Institute, Montreal (Canada)

4 More presentations in this session

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Integration of artificial intelligence in electrocardiography: state-of-the art lecture
Doctor F. Lopez-Jimenez (Rochester, US)
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An artificial intelligence-enabled electrocardiogram model outperforms the revised cardiac risk index score for predicting major adverse cardiovascular events in patients undergoing noncardiac surgery
Doctor A. Estrada-Magana (Bronx, US)
Abstract Slides Video
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Prognostic assessment based on the trajectory of artificial intelligence-enabled electrocardiograms for age estimation
Doctor T. Hwang (Seoul, KR)
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A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG
Doctor A. Demolder (Aalst, BE)
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Integration of artificial intelligence in electrocardiography: state of the art
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The Event

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ESC Congress 2024

30 August - 2 September 2024
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