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Multimodal deep learning for near term prediction of new onset atrial fibrillation in hospitalized patients

12 April 2026 (08:00 - 15:30)
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Congress Presentation Part of: Atrial fibrillation epidemiology (2) Prevalence and Incidence of Atrial Fibrillation EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

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Mr Avdhesh Mann

IIT Mandi, Himachal Pradesh (India)

5 More presentations in this session

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Predicting atrial fibrillation in the real world: head-to-head comparison of five risk scores
Doctor A. Estrada-Magana (Bronx, US)
Abstract Slides Video
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Rural-urban disparities in atrial fibrillation-related diagnostic testing and medical procedures in Canada
Doctor M. Shurrab (Sudbury, CA)
Abstract Slides Video
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Mutual reinforcement of device detected atrial fibrillation and sleep apnea
Doctor P. Spitaler (Innsbruck, AT)
Abstract Slides Video
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Impact of cardiovascular-kidney-metabolic conditions on clinical outcomes in patients with atrial fibrillation: results from a prospective cohort
Doctor M. Vitolo (Modena, IT)
Abstract Slides Video
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The interplay between total and left atrial pericardial fat and atrial fibrillation: a systematic review and meta-analysis of their associations with AF onset, duration, recurrence, and postoperative
Mr W. Kociemba (Warsaw, PL)
Abstract Slides Video

Access the full session

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Atrial fibrillation epidemiology (2)

The Event

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EHRA 2026

12 April - 14 April 2026
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ESC 365 is supported by

novartis Explore sponsored resources