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Accuracy of atrial fibrillation labels in the MIMIC-IV ECG database: implications for artificial intelligence model development

30 August 2026 (15:15 - 16:00)
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Congress Presentation Part of: Atrial fibrillation detection: from signals to clinical application Diagnostic Methods ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Ioannis Valasakis

University of Glasgow, Glasgow (United Kingdom of Great Britain & Northern Ireland)

5 More presentations in this session

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Risk stratification for atrial fibrillation in hypertrophic cardiomyopathy using a deep learning–based ECG model
Professor J. Choi (Seoul, KR)
Abstract Slides Video
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A new multi-step diagnostic pathway using machine learning ECG analysis and wearables to detect Atrial fibrillation in embolic stroke of unknown source
Doctor F. Range (Duesseldorf, DE)
Abstract Slides Video
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Continuous electrocardiographic monitoring improves atrial fibrillation detection after ischemic stroke
Doctor T. Chiuariu (Marseille, FR)
Abstract Slides Video
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Elevated formation of collagen type III and VI after ablation reflects recurrence of atrial fibrillation
Miss T. Chrysoulidou (Copenhagen, DK)
Abstract Slides Video
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Prediction of Pulmonary vein isolation responders using morphology-based ECG criteria
Doctor R. Hoffmann (Hasselt, BE)
Abstract Slides Video

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Atrial fibrillation detection: from signals to clinical application

The Event

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ESC Congress 2026

30 August 2026 15:15 CET
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