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From clinic to couch: an uncertainty-aware deep learning approach for ECG analysis across modalities

21 November 2025 (08:00 - 18:00)
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Congress Presentation Part of: Poster session (1) Deep Learning Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

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Mr Maximilian Zillekens

Teltow (Germany)

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Development and validation of a parsimonious AI-based risk score for mortality in heart failure: a UK cohort study
Mr N. Ahmed (Oxford, GB)
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Comparison of a novel scientific model of the memetic pattern based (MPA v3) and the ESC 2024 RF-CL algorithm for the detection of coronary artery disease: a retrospective multicentre study
Mr A. Buesser (CH)
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Learning to scale: deriving data-driven scaling laws for ECG-optimized CNNs
Mr N. Jabareen (Berlin, DE)
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Application of machine learning to predict timing of ventricular tachycardia onset
Mr A. Mann (Himachal Pradesh, IN)
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Real-time detection of return of spontaneous circulation during cardiopulmonary resuscitation using AI and carotid Doppler ultrasound
Mr R. Mushunuri (Trondheim, NO)
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Poster session (1)

The Event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025
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ESC 365 is supported by

novartis Explore sponsored resources