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Artificial intelligence derived electrocardiographic aging and the risk of new and early onset cardiovascular disease

30 March 2025 (08:00 - 15:30)
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Congress Presentation Part of: Artificial intelligence and arrhythmias (2) Artificial Intelligence EHRA Premium Access EHRA 2025 European Heart Rhythm Association (EHRA)

About the speaker

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Doctor Daehoon Kim

Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul (Korea (Republic of))

5 More presentations in this session

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Multi-layer perceptron neural network-based algorithm for automatic external defibrillator
Professor N. Yoon (Gwangju, KR)
Abstract Slides
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Deep neural network for atrial fibrillation and atrial tachycardia/atrial flutter classification in insertable cardiac monitor
Mr S. Majumder (Minneapolis, US)
Abstract Slides Video
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AI-based ECG analysis outperforms predefined ECG features to predict AF recurrences in patients undergoing AF ablation: Data from the ISOLATION registry
Mrs Z. Habibi (Maastricht, NL)
Abstract Slides Video
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Comparison of artificial intelligence and cardiologists in the interpretation of exercise treadmill tests
Associate Professor Y. Kim (Gwangju, KR)
Abstract Slides Video
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Artificial intelligence assisted QT interval measurement in 12-lead-ECGs
Associate Professor Y. Kim (Gwangju, KR)
Abstract Slides Video

Access the full session

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Artificial intelligence and arrhythmias (2)

The Event

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EHRA 2025

30 March - 1 April 2025
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