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

21 November 2025 (10:10 - 10:55)
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Congress Presentation Part of: Advancements in AI-driven ECG interpretation and cardiac diagnostics Electrocardiogram (ECG) and Arrhythmia Analysis Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

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Ms Giuliana Monachino

SUPSI, Lugano (Switzerland)

6 More presentations in this session

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Fast-tracking cardiac amyloidosis detection from 12-lead ECG: validating the deep learning model willem AI platform
Mr R. Abbou (Paris, FR)
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Artificial intelligence enabled ECG analysis for the detection of structural and electrophysiological left atrial remodeling
Mr S. Koenig (Leipzig, DE)
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Artificial intelligence-based localization and risk stratification of accessory pathways in patients with pre-excitation: development and external validation of a multicenter ECG model
Professor J. Choi (Seoul, KR)
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Localization of cardiac ablation targets through ECG-AI (LOCATE)
Mrs C. Pizarro Perez (Utrecht, NL)
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Repolarization in bundle branch block, can artificial intelligence offer insights?
Doctor M. Salman (Bristol, GB)
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Access the full session

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Advancements in AI-driven ECG interpretation and cardiac diagnostics

The Event

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ESC Digital & AI Summit 2025

21 November 2025 10:10 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources