ESC 365 - Predicting recurrence and outcomes after triggered atrial fibrillation using deep learning

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Predicting recurrence and outcomes after triggered atrial fibrillation using deep learning

Session: Atrial fibrillation and artificial intelligence: the winning couple

Topic: Clinical

Speaker: Doctor S. Kany (Hamburg, DE)

Event: ESC Congress 2025

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Doctor Shinwan Kany

The University Medical Center Hamburg-Eppendorf, Hamburg (Germany)

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Prediction of atrial fibrillation over time using artificial intelligence based on ECG features and clinical risk factors

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Statistical shape and appearance modelling of atrial fibrillation: linking left atrial geometry and rotational propagation patterns

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Atrial fibrillation and artificial intelligence: the winning couple

Speakers: Doctor S. Kany, Doctor T. Uchida, Professor H. Wang, Doctor E. Shahmohamadi, Doctor M. Khan...

About the event

ESC Congress 2025

29 August - 1 September 2025

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