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

Congress Presentation

About the speaker

Doctor Hanjin Park

Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul (Korea (Republic of))
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6 more presentations in this session

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

Speaker: Associate Professor Y. Baek (Incheon, KR)

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

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

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Prediction and classification of aortic stenosis severity based on electrocardiogram with deep learning model

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

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Beyond human accuracy: application of artificial intelligence for establishing syncope diagnosis in daily practice of the syncope unit

Speaker: Mr S. van Zanten (Delft, NL)

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

Speaker: Doctor K. Saleh (London, GB)

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Artificial intelligence and arrhythmias (1)

Speakers: Doctor H. Park, Associate Professor Y. Baek, Associate Professor K. Lee, Associate Professor K. Lee, Mr S. van Zanten...
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EHRA 2025

30 March - 1 April 2025

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