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An AI-powered digital twin platform for predicting atrial fibrillation burden after catheter ablation

30 August 2026 (13:15 - 13:25)
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Congress Presentation Part of: New insights into atrial fibrillation ablation and outcome prediction Disease Modelling ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Albert Dasi

Queen Mary University of London, London (United Kingdom of Great Britain & Northern Ireland)

3 More presentations in this session

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Landscape of pulmonary vein sleeves during atrial fibrillation by integrating single-cell sequencing and spatial transcriptomics
Doctor Y. Wang (Hangzhou, CN)
Abstract Slides Video
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Major adverse cardiovascular events and their predictors in patients with atrial fibrillation undergoing pulmonary vein isolation: the Swiss-AF-PVI study
Ms V. Herren (Basel, CH)
Abstract Slides Video
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Comparative assessment of the thermal footprints of pulse field ablation systems
Doctor J. Gill (London, GB)
Abstract Slides Video

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New insights into atrial fibrillation ablation and outcome prediction
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The Event

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ESC Congress 2026

30 August 2026 13:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources