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Deep learning-based electrocardiography for sudden cardiac death risk prediction: a systematic review and meta-analysis of validation studies

28 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Electrocardiography: atrial fibrillation and risk prediction Electrocardiography (ECG) ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Jay Gohri

New Delhi (India)

6 More presentations in this session

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Incidental findings of ventricular tachycardia in a nationwide atrial fibrillation screening trial: Insights from the NORSCREEN trial
Mr M. Haraldsen (Oslo, NO)
Abstract Slides
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Impact of ventricular arrhythmia during polysomnography in patients with sleep apnea on transient ischemic attack and autonomic dysfunction
Doctor S. Im (Pusan, KR)
Abstract Slides
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AI-assisted ECG screening for atrial fibrillation in older adults: comparison of short-term and one-week monitoring
Mr O. Rantula (0074 CGI, FI)
Abstract Slides
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Detection of arrhythmias by 24-hour holter monitoring versus 14-day continuous electrocardiogram patch: a systematic review and meta-analysis
Ms J. Ferraz De Sousa (BR)
Abstract Slides
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Post-stroke Holter-ECG findings beyond atrial fibrillation – A subgroup analysis of the MonDAFIS trial
Doctor N. Thiessen (Hamburg, DE)
Abstract Slides

Access the full session

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Electrocardiography: atrial fibrillation and risk prediction

The Event

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ESC Congress 2026

28 August 2026 08:15 CET
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