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

Congress Presentation

About the speaker

Doctor Keenan Saleh

London (United Kingdom of Great Britain & Northern Ireland)
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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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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: Doctor K. Saleh, 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

Sessions Presentations