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

Congress Presentation

About the speaker

Doctor Daehoon Kim

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

Multi-layer perceptron neural network-based algorithm for automatic external defibrillator

Speaker: Professor N. Yoon (Gwangju, KR)

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Deep neural network for atrial fibrillation and atrial tachycardia/atrial flutter classification in insertable cardiac monitor

Speaker: Mr S. Majumder (Minneapolis, US)

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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

Speaker: Mrs Z. Habibi (Maastricht, NL)

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Comparison of artificial intelligence and cardiologists in the interpretation of exercise treadmill tests

Speaker: Associate Professor Y. Kim (Gwangju, KR)

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Artificial intelligence assisted QT interval measurement in 12-lead-ECGs

Speaker: Associate Professor Y. Kim (Gwangju, KR)

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Access the full session

Artificial intelligence and arrhythmias (2)

Speakers: Doctor D. Kim, Professor N. Yoon, Mr S. Majumder, Mrs Z. Habibi, Associate Professor Y. Kim...
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EHRA 2025

30 March - 1 April 2025

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