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

1 September 2024 (08:15 - 08:33)

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Doctor Francisco Lopez-Jimenez

Mayo Clinic, Rochester (United States of America)

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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)

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

Doctor G. Jabbour (Montreal, CA)

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Integration of artificial intelligence in electrocardiography: state of the art

The Event

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ESC Congress 2024

1 September 2024 08:15 CET

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