ECG-based artificial enhancement for risk stratification of thromboembolic and major adverse cardiac events in atrial fibrillation compared with CHA2DS2-VA scoring

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ECG-based artificial enhancement for risk stratification of thromboembolic and major adverse cardiac events in atrial fibrillation compared with CHA2DS2-VA scoring

Session: What can we learn from artificial intelligence-ECG interpretation?

Topic: Artificial Intelligence

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

Event: ESC Congress 2025

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Associate Professor Yong Soo Baek

Inha University Hospital, Incheon (Korea (Republic of))

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4 more presentations in this session

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Longitudinal ECG trajectories identify high-risk aortic stenosis phenotypes years prior to TAVR

Speaker: Doctor M. Segar (Houston, US)

High-dimensional phenotypic matching with artificial intelligence-enhanced ECG to replicate heart failure trial outcomes in real-world data

Speaker: Doctor D. Biswas (New Haven, US)

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What can we learn from artificial intelligence-ECG interpretation?

Speakers: Associate Professor Y. Baek, Doctor A. Poopak, Doctor C. Wang, Doctor M. Segar, Doctor D. Biswas

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ESC Congress 2025

29 August - 1 September 2025

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