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Predicting new-onset atrial fibrillation after transcatheter aortic valve implantation using the FIND-AF machine learning algorithm

29 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: New-onset atrial fibrillation: risk prediction, clinical management, and outcomes Diagnostic Methods ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Junhui Tan

Leeds Teaching Hospitals, Leeds (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

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Ethnic differences in new-onset atrial fibrillation using multidimensional data
Doctor H. Naderi (London, GB)
Abstract
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Beta-blockers vs amiodarone in management of new onset atrial fibrillation in patients receiving critical care services: an analysis from a global federated research network
Doctor K. Ahmadzadeh (Liverpool, GB)
Abstract
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Hepatic steatosis and incident cardiovascular events in patients with new-onset atrial fibrillation
Doctor S. Sohn (Seoul, KR)
Abstract
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Shifting clinical landscape of wild-type transthyretin amyloid cardiomyopathy: earlier detection, milder cardiac involvement, and reduced new-onset of atrial fibrillation in the contemporary era
Doctor H. Kondo (Yufu City, JP)
Abstract
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Development and external validation of a pre-operative prediction model for new-onset atrial fibrillation after coronary artery bypass grafting
Miss W. Li (Exeter, GB)
Abstract

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New-onset atrial fibrillation: risk prediction, clinical management, and outcomes

The Event

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ESC Congress 2026

29 August 2026 14:15 CET
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