Longitudinal ECG trajectories identify high-risk aortic stenosis phenotypes years prior to TAVR

29 August 2025 (08:35 - 08:45)

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Doctor Matthew Segar

Texas Heart Institute, Houston (United States of America)

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Prospective validation of an ensemble deep learning algorithm for detecting structural heart disease using real-world 12-lead electrocardiogram images

Doctor A. Poopak (Tehran, IR)

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Development of a short-term mortality risk prediction model for patients with QTc prolongation based on 12-lead electrocardiogram

Doctor C. Wang (Beijing, CN)

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ECG-based artificial enhancement for risk stratification of thromboembolic and major adverse cardiac events in atrial fibrillation compared with CHA2DS2-VA scoring

Associate Professor Y. Baek (Incheon, KR)

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High-dimensional phenotypic matching with artificial intelligence-enhanced ECG to replicate heart failure trial outcomes in real-world data

Doctor D. Biswas (New Haven, US)

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What can we learn from artificial intelligence-ECG interpretation?

The Event

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ESC Congress 2025

29 August 2025 08:35 CET

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ESC 365 is supported by

novartis

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