Prediction of atrial fibrillation in patients with embolic stroke with undetermined source using electrocardiogram deep learning algorithm and clinical risk factors

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Prediction of atrial fibrillation in patients with embolic stroke with undetermined source using electrocardiogram deep learning algorithm and clinical risk factors

Session: Stroke prevention in atrial fibrillation

Topic: Diagnostic Methods

Speaker: Associate Professor J. Lee (Seongnam, KR)

Event: ESC Congress 2022

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About the speaker

Associate Professor Ji Hyun Lee

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

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We all know A and B, but what about C? Exploring the management of modifiable risk factors in patients with atrial fibrillation.

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The association between dyslipidaemia treatment and the risk of clinical events in edoxaban-treated patients with atrial fibrillation: insights from the 2-year follow-up of ETNA-AF-Europe

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Should we initiate oral anticoagulants for patients with atrial fibrillation staying well without oral anticoagulants for years?

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Stroke prevention in atrial fibrillation

Speakers: Associate Professor J. Lee, Doctor K. Hasegawa, Miss D. Verhaert, Doctor K. Arps, Doctor T. de Vries...

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About the event

ESC Congress 2022

26 August - 29 August 2022

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