Deep learning-based electrocardiogram analysis detecting paroxysmal atrial fibrillation during sinus rhythm in patients with cryptogenic stroke : validation study using implantable cardiac monitoring

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Deep learning-based electrocardiogram analysis detecting paroxysmal atrial fibrillation during sinus rhythm in patients with cryptogenic stroke : validation study using implantable cardiac monitoring

Session: Digital health innovation: from artificial intelligence to clinical decision support

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Assistant Professor K. Jeon (Seongnam, KR)

Event: ESC Congress 2022

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Assistant Professor Ki-Hyun Jeon

Seoul National University Bundang Hospital, Seongnam (Korea (Republic of))

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Estimating prevalence and characteristics of statin intolerance among high and very high cardiovascular risk patients in Germany between 2017-2020

Speaker: Professor K. Parhofer (Munich, DE)

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Digital health innovation: from artificial intelligence to clinical decision support

Speakers: Assistant Professor K. Jeon, Doctor A. Anand, Professor R. Carter, Miss A. Auton, Doctor W. Zhang...

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ESC Congress 2022

26 August - 29 August 2022

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