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Unsupervised machine learning stratifies AF patients into phenotypes linked to post-PVI recurrence

12 April 2026 (08:00 - 15:30)
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Congress Presentation Part of: Atrial fibrillation postablation follow-up Epidemiology, Prognosis, Outcome EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

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Doctor Yazan Mohsen

Johns Hopkins, Baltimore (United States of America)

6 More presentations in this session

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Prediction of sinus rhythm maintenance using clinical parameters following atrial fibrillation ablation with pulsed-field and radiofrequency energy
Mr S. Hassouna (Prague, CZ)
Abstract Slides Video
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Predicting PVI Non-Responders using machine learning on left-atrial electroanatomic mapping data
Doctor Y. Mohsen (Baltimore, US)
Abstract Slides Video
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Determinants of AF burden reduction as indicator of successful catheter ablation of atrial fibrillation: data of the ISOLATION study
Miss Z. Habibi (Maastricht, NL)
Abstract Slides Video
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Optimal blanking period following atrial fibrillation catheter ablation: a systematic review and diagnostic meta-analysis of over 28,000 patients
Doctor A. Askarinejad (Liverpool, GB)
Abstract Slides Video
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Is repeat ablation for atrial fibrillation using pulsed field energy as effective as the initial procedure? Objective evaluation using continuous monitoring
Doctor D. Musat (Paramus, US)
Abstract Slides Video

Access the full session

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Atrial fibrillation postablation follow-up

The Event

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EHRA 2026

12 April - 14 April 2026
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Congress Session
Registries on atrial fibrillation and sudden death

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ESC 365 is supported by

novartis Explore sponsored resources