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Predicting PVI Non-Responders using machine learning on left-atrial electroanatomic mapping data

Topic: Epidemiology, Prognosis, Outcome

Congress Presentation

About the speaker

Doctor Yazan Mohsen

Johns Hopkins, Baltimore (United States of America)
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6 more presentations in this session

Prediction of sinus rhythm maintenance using clinical parameters following atrial fibrillation ablation with pulsed-field and radiofrequency energy

Speaker: Mr S. Hassouna (Prague, CZ)

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

Speaker: Doctor Y. Mohsen (Baltimore, US)

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Determinants of AF burden reduction as indicator of successful catheter ablation of atrial fibrillation: data of the ISOLATION study

Speaker: Miss Z. Habibi (Maastricht, NL)

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Optimal blanking period following atrial fibrillation catheter ablation: a systematic review and diagnostic meta-analysis of over 28,000 patients

Speaker: Doctor A. Askarinejad (Liverpool, GB)

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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

Speaker: Doctor D. Musat (Paramus, US)

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Access the full session

Atrial fibrillation postablation follow-up

Speakers: Doctor Y. Mohsen, Mr S. Hassouna, Doctor Y. Mohsen, Miss Z. Habibi, Doctor A. Askarinejad...
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About the event

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EHRA 2026

12 April - 14 April 2026

Sessions Presentations