Back

Development and evaluation of an AI-ECG model for incident heart failure risk prediction: a cross-continent study

29 August 2026 (14:15 - 15:00)
Organised by: Logo
Congress Presentation Part of: Artificial intelligence in heart failure: advancing early detection, risk stratification, and patient management Deep Learning ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Mr Xuelong An

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

7 More presentations in this session

Presentation thumbnail
Hierarchical anatomical learning improves detection of heart failure signs on chest X-rays
Mr J. Moon (Daejeon, KR)
Abstract Slides Video
Presentation thumbnail
CARE-HEART: AI-driven prediction in heart failure for timely advance care planning
Ms M. Tans (Amsterdam, NL)
Abstract Slides
Presentation thumbnail
Multimodal transformer decoder for the early detection of clinical deterioration in heart failure: Insights from temporal lead-time analysis
Mr J. Moon (Daejeon, KR)
Abstract Slides
Presentation thumbnail
CIED-derived sleep apnea burden and risk of heart failure hospitalization: a registry-based analysis
Associate Professor T. Bekfani (Magdeburg, DE)
Abstract Slides Video
Presentation thumbnail
Rethinking false positives: can ECG-based diagnostic ML models predict future heart failure risk?
Doctor M. Paganuzzi (Milano, IT)
Abstract Slides Video

Access the full session

Session thumbnail
Artificial intelligence in heart failure: advancing early detection, risk stratification, and patient management

The Event

Event poster

ESC Congress 2026

29 August 2026 14:15 CET
You may be interested in
thumbnail
Congress Presentation
External validation of artificial intelligence–based electrocardiographic models for heart failure detection across diverse clinical settings
28 August 2026
thumbnail
Congress Presentation
Deep learning based prediction of atrial fibrillation incidence from 1-lead ECGs: a model development and validation study
28 August 2023
thumbnail
Congress Presentation
Cancer-specific Heart Failure (HF) risk score - a new risk score developed specifically to predict HF among cancer survivors
30 August 2024
thumbnail
Congress Presentation
Prediction of incident heart failure through deep learning-based analysis of 1-lead ECGs
25 August 2023

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