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Artificial Intelligence-based Electrocardiogram prediction for duration of Atrial Fibrillation

9 April 2024 (08:30 - 09:15)
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Congress Presentation Part of: eCardiology 3 Artificial Intelligence EHRA Premium Access EHRA 2024 European Heart Rhythm Association (EHRA)

About the speaker

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Associate Professor Young Jun Park

Korea University Anam Hospital, Seoul (Korea (Republic of))

7 More presentations in this session

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Genetic, sociodemographic, lifestyle, and clinical risk factors of heart failure aggravation events: data from the UK Biobank
Doctor T. Hwang (Seoul, KR)
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Spatiotemporal stability of digital twin-guided atrial fibrillation dominant frequency sites and the clinical outcome of catheter ablation
Doctor T. Hwang (Seoul, KR)
Abstract Slides Video
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Initial experience with a virtual atrial fibrillation clinic after pulmonary vein isolation
Doctor J. Balt (Nieuwegein, NL)
Abstract Slides Video
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Predicting left atrial appendage thrombus in patients with persistent atrial fibrillation or flutter and no oral anticoagulation using machine-learning models.
Doctor B. Musielak (Nowa Sol, PL)
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Clinical validation of an artificial intelligence algorithm offering automated corrected QT-interval measurements from a single lead electrocardiogram
Mr D. Mannhart (Basel, CH)
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eCardiology 3

The Event

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EHRA 2024

9 April 2024 08:30 CET
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