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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

26 August 2022 (08:00 - 19:30)
Organised by:
Congress Presentation Part of: Stroke prevention in atrial fibrillation Diagnostic Methods ESC Professional Premium Access ESC Congress 2022

About the speaker

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Associate Professor Ji Hyun Lee

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

6 More presentations in this session

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Associations of soluble fms-like tyrosine kinase-1 with cardiovascular events and stroke in patients with atrial fibrillation and suspected or known coronary artery disease: The EXCEED-J Study
Doctor K. Hasegawa (Kyoto, JP)
Abstract Slides
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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.
Miss D. Verhaert (Maastricht, NL)
Abstract Slides
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Incidence and risk factors for major bleeding events in atrial fibrillation patients on direct oral anticoagulant therapy: data from the National Patient-Centered Clinical Research Network
Doctor K. Arps (Durham, US)
Abstract Slides
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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
Doctor T. de Vries (Amsterdam, NL)
Abstract Slides
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Should we initiate oral anticoagulants for patients with atrial fibrillation staying well without oral anticoagulants for years?
Doctor T. Chao (Taipei, TW)
Abstract Slides

Access the full session

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Stroke prevention in atrial fibrillation

The Event

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ESC Congress 2022

26 August - 29 August 2022
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ESC 365 is supported by

novartis Explore sponsored resources