Back
Open Access

Self-supervised learning can tackle life-threatening arrhythmia detection data challenges

Session: Advancements in AI-driven ECG interpretation and cardiac diagnostics
Topic: Electrocardiogram (ECG) and Arrhythmia Analysis
Speaker: Ms G. Monachino (Viganello, CH)
Event: ESC Digital & AI Summit 2025

Congress Presentation

Add to my library

Like

About the speaker

Ms Giuliana Monachino

Viganello (Switzerland)
0 follower

6 more presentations in this session

Fast-tracking cardiac amyloidosis detection from 12-lead ECG: validating the deep learning model willem AI platform

Speaker: Mr R. Abbou (Paris, FR)

Access
Abstract
Slides
Like
Thumbnail

Artificial intelligence enabled ECG analysis for the detection of structural and electrophysiological left atrial remodeling

Speaker: Mr S. Koenig (Leipzig, DE)

Access
Abstract
Slides
Like
Thumbnail

Artificial intelligence-based localization and risk stratification of accessory pathways in patients with pre-excitation: development and external validation of a multicenter ECG model

Speaker: Professor J. Choi (Seoul, KR)

Access
Abstract
Slides
Like
Thumbnail

Localization of cardiac ablation targets through ECG-AI (LOCATE)

Speaker: Mrs C. Pizarro Perez (Utrecht, NL)

Access
Abstract
Slides
Like
Thumbnail

Repolarization in bundle branch block, can artificial intelligence offer insights?

Speaker: Doctor M. Salman (Bristol, GB)

Access
Abstract
Slides
Like
Thumbnail

Access the full session

Advancements in AI-driven ECG interpretation and cardiac diagnostics

Speakers: Ms G. Monachino, Mr R. Abbou, Mr S. Koenig, Professor J. Choi, Mrs C. Pizarro Perez...
Access
Like
Thumbnail

About the event

Image

ESC Digital & AI Summit 2025

21 November - 22 November 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

bristol-myers-squibb Explore sponsored resources
novartis Explore sponsored resources