Enhancing atrial fibrillation detection during normal sinus rhythm using self-supervised electrocardiogram foundation model

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Enhancing atrial fibrillation detection during normal sinus rhythm using self-supervised electrocardiogram foundation model

Session: Artificial intelligence and arrhythmias (1)

Topic: Artificial Intelligence

Speaker: Associate Professor K. Lee (Gwangju, KR)

Event: EHRA 2025

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Associate Professor Ki Hong Lee

Chonnam National University Hospital, Gwangju (Korea (Republic of))

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Enhancing thromboembolic and major adverse cardiac events risk assessment in atrial fibrillation using AI-driven ECG: a comparative analysis with CHA2DS2-VA scoring

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Application of machine learning techniques to optimise for limited datasets in an AI-ECG model for Brugada classification

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Artificial intelligence estimated electrocardiographic age trajectory predicts recurrence after atrial fibrillation catheter ablation

Speaker: Doctor H. Park (Seoul, KR)

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Artificial intelligence and arrhythmias (1)

Speakers: Associate Professor K. Lee, Associate Professor Y. Baek, Associate Professor K. Lee, Mr S. van Zanten, Doctor K. Saleh...

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EHRA 2025

30 March - 1 April 2025

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