Back

Predicting incident atrial fibrillation from sinus rhythm electrocardiograms using deep learning: a meta-analysis with horizon stratification

31 August 2026 (08:15 - 09:00)
Organised by: Logo
Congress Presentation Part of: Electrocardiographic signatures of conduction disease and arrhythmia: from mechanisms to clinical outcomes Electrocardiography (ECG) ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Doctor Ibrahim Antoun

University of Leicester, Leicester (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

Presentation thumbnail
Electrocardiographic analysis of LV septum and lateral wall activation indicates LV systolic dysfunction and symptoms beyond apical rocking in left bundle branch block patients
Doctor L. Oprean (Bucharest, RO)
Abstract Slides Video
Presentation thumbnail
Prognostic significance of right and left bundle branch block in the general population: findings from a city health study
Doctor J. Senftinger (Davos Wolfgang, CH)
Abstract Slides Video
Presentation thumbnail
Frequency and outcomes of arrhythmias and conduction system abnormalities using real-world handheld single-lead ECGs: A VITAL-AF trial analysis
Doctor E. Patt (Boston, US)
Abstract Slides Video
Presentation thumbnail
Arrhythmias as the dominant phenotype of early cardiovascular events after liver transplantation
Doctor C. Huerta (Dallas, US)
Abstract Slides Video

Access the full session

Session thumbnail
Electrocardiographic signatures of conduction disease and arrhythmia: from mechanisms to clinical outcomes

The Event

Event poster

ESC Congress 2026

31 August 2026 08:15 CET
You may be interested in
thumbnail
Congress Presentation
Prediction of incident atrial fibrillation from a 10-second single-lead ECG using a neural network
29 August 2026
thumbnail
Congress Presentation
Diagnostic accuracy of ai-enabled wearables for detecting atrial fibrillation recurrence after catheter ablation: a systematic review and meta-analysis
29 August 2026
thumbnail
Congress Presentation
Risk prediction models for incident heart failure: a systematic review and meta-analysis
2 September 2024
thumbnail
Congress Presentation
Incident atrial fibrillation prediction using ECG-based deep learning at a specialized tertiary cardiac care center
1 September 2024

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources