Back

Challenges in the application of ECG foundation models to out-of-domain populations: an evaluation in professional athletes

21 November 2025 (08:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Multimodal AI, multitask AI and foundation models Artificial Intelligence, Other Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

Photo
Doctor Christian Goelz

University Hospital of Munich, Munich (Germany)

6 More presentations in this session

Presentation thumbnail
Contrastive learning to enrich ECG with cardiac MRI to predict structural features and cardiovascular disease
Mr S. Ruiperez-Campillo (Zurich, CH)
Abstract Slides
Presentation thumbnail
Deep learning-based multitask model for 12-lead electrocardiogram delineation, rhythm analysis, and median beat construction
Mr B. Arends (Utrecht, NL)
Abstract Slides
Presentation thumbnail
Transformer-based ECG foundation and deep learning models for assessment of left ventricular systolic dysfunction
Professor A. Bollmann (Leipzig, DE)
Abstract Slides
Presentation thumbnail
Explainable visual transformer based scoring of CAD-RADS from coronary CT angiography multiplanar projections
Assistant Professor E. Parimbelli (Pavia, IT)
Abstract Slides
Presentation thumbnail
A swiss knife: can neural networks for ECG segmentation generalize to multiple classification tasks?
Mr A. Mircea (Lausanne, CH)
Abstract Slides

Access the full session

Session thumbnail
Multimodal AI, multitask AI and foundation models

The Event

Event poster

ESC Digital & AI Summit 2025

21 November - 22 November 2025

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources