Leveraging deep learning for detecting atrial fibrillation and flutter and predicting thromboembolic events from images of 12-lead electrocardiograms in sinus rhythm

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Leveraging deep learning for detecting atrial fibrillation and flutter and predicting thromboembolic events from images of 12-lead electrocardiograms in sinus rhythm

Session: Stroke prediction in atrial fibrillation

Topic: Prevention

Speaker: Doctor A. Aminorroaya (New Haven, US)

Event: ESC Congress 2025

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Doctor Arya Aminorroaya

Yale School of Medicine, New Haven (United States of America)

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4 more presentations in this session

State-of-the-art lecture on stroke prevention in atrial fibrillation

Speaker: Professor E. Hylek (Boston, US)

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CHA2DS2-VASc vs. CHA2DS2-VA regarding their stroke risk stratifications in patients with atrial fibrillation: insights from the GLORIA-AF registry

Speaker: Doctor S. Lam (Liverpool, GB)

Cancer as independent risk factor for ischemic stroke in low-risk patients with atrial fibrillation: Swedish national cohort study

Speaker: Doctor A. Karagianni (Gothenburg, SE)

Is the risk of ischemic stroke lower in atrial flutter compared to atrial fibrillation?

Speaker: Doctor H. Eyob Fesseha (Helsinki, FI) Doctor M. Lehto (Helsinki, FI)

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Stroke prediction in atrial fibrillation

Speakers: Doctor A. Aminorroaya, Professor E. Hylek, Doctor S. Lam, Doctor A. Karagianni, Doctor H. Eyob Fesseha...

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ESC Congress 2025

29 August - 1 September 2025

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