ESC 365 - Prognostic assessment based on the trajectory of artificial intelligence-enabled electrocardiograms for age estimation

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

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

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor T. Hwang (Seoul, KR)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Taehyun Hwang

Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul (Korea (Republic of))

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4 more presentations in this session

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

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

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

Speaker: Doctor A. Demolder (Aalst, BE)

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

Speaker: Doctor G. Jabbour (Montreal, CA)

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Integration of artificial intelligence in electrocardiography: state of the art

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

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ESC Congress 2024

30 August - 2 September 2024

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