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Predicting ventricular tachycardia in post-MI patients years in advance using artificial intelligence on ECGs

29 August 2025 (10:15 - 11:00)
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Congress Presentation Part of: Artificial intelligence in cardiology: transforming ECG analysis for precision care Deep Learning ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Miss Carlijn Maureen Arthure Buck

Eindhoven University of Technology, Eindhoven (Netherlands (The))

7 More presentations in this session

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Performance of a deep learning ECG model in predicting atrial fibrillation among patients with implantable loop recorders
Doctor A. Estrada-Magana (Bronx, US)
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Machine-learning based ECG model to differentiate takotsubo syndrome from myocardial infarction
Doctor P. Tornvall (Stockholm, SE) Doctor H. Hakansson (Stockholm, SE)
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Artificial intelligence-driven ECG biomarkers for accurate screening of large pericardial effusion
Assistant Professor M. SOH (Suwon, KR)
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AI-driven dual-ECG analysis for non-invasive monitoring of heart failure status changes
Doctor Y. Nishihara (Kobe, JP)
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Assessing the external performance of AI-ECG for left ventricular systolic dysfunction: a review and multinational head-to-head comparison
Mr P. Croon (New Haven, US)
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Artificial intelligence in cardiology: transforming ECG analysis for precision care

The Event

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ESC Congress 2025

29 August 2025 10:15 CET
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