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

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

Session: Integration of artificial intelligence in electrocardiography: state of the art

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor G. Jabbour (Montreal, CA)

Event: ESC Congress 2024

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Doctor Gilbert Jabbour

Montreal Heart Institute, Montreal (Canada)

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Integration of artificial intelligence in electrocardiography: state-of-the art lecture

Speaker: 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

Speaker: Doctor A. Estrada-Magana (Rochester, US)

Prognostic assessment based on the trajectory of artificial intelligence-enabled electrocardiograms for age estimation

Speaker: Doctor T. Hwang (Seoul, KR)

A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG

Speaker: Doctor A. Demolder (Aalst, BE)

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Integration of artificial intelligence in electrocardiography: state of the art

Speakers: Doctor G. Jabbour, Doctor F. Lopez-Jimenez, Doctor A. Estrada-Magana, Doctor T. Hwang, Doctor A. Demolder

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ESC Congress 2024

30 August - 2 September 2024

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