An artificial intelligence-enabled electrocardiogram model outperforms the revised cardiac risk index score for predicting major adverse cardiovascular events in patients undergoing noncardiac surgery

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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

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

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

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

Event: ESC Congress 2024

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Doctor Andres Estrada-Magana

Mayo Clinic, Rochester (United States of America)

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4 more presentations in this session

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

Speaker: Doctor F. Lopez-Jimenez (Rochester, US)

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Integration of artificial intelligence in electrocardiography: state of the art

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

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ESC Congress 2024

30 August - 2 September 2024

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