ESC 365 - Prediction of atrial fibrillation from normal ECG using artificial intelligence in patients with unexplained stroke

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Prediction of atrial fibrillation from normal ECG using artificial intelligence in patients with unexplained stroke

Session: Atrial Fibrillation from Care to Artificial Intelligence

Topic: Epidemiology, Prognosis, Outcome

Speaker: Associate Professor Y. Baek (Incheon, KR)

Event: ESC Congress 2020

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Associate Professor Yong Soo Baek

Inha University Hospital, Incheon (Korea (Republic of))

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2 more presentations in this session

The Atrial fibrillation Better Care (ABC) pathway is associated to a lower incidence of cardiac complications in patients with atrial fibrillation: A report from the ATHERO-AF study

Speaker: Assistant Professor D. Pastori (Rome, IT)

A nationwide 16 year analysis of trends and impact of arrythmias in transplant recipients

Speaker: Doctor A. Isath (Valhalla, US)

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Atrial Fibrillation from Care to Artificial Intelligence

Speakers: Associate Professor Y. Baek, Assistant Professor D. Pastori, Doctor A. Isath

About the event

ESC Congress 2020

29 August - 1 September 2020

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