AI-driven analysis of treadmill test ECG: clinical utility and performance evaluation

1 September 2025 (10:15 - 11:00)

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About the speaker

Mr Yeongyeon Na

Seoul (Korea (Republic of))

6 More presentations in this session

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AI-ECG performance in detecting left ventricular systolic dysfunction and predicting death in Chagas disease patients: SaMi-Trop project

Associate Professor C. Cardoso (Divinopolis, BR)

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AI-Enhanced ECG for pulmonary hypertension detection: integrating machine learning and deep learning approaches

Doctor J. Huang (Taipei, TW)

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AI-ECG-derived biological age as a predictor of mortality in cardiovascular and acute care patients

Doctor D. Pavluk (Innsbruck, AT)

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Explainable and interpretable AI visualises self-learned clinically relevant ECG characteristics of rhythm and morphology paving the way for trustworthy diagnostic support

Mr A. Hammer (Dresden, DE)

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Prospective validation in a real-world cohort of a deep learning model for left ventricular filling pressure estimation using standard 12-lead ECG

Doctor A. Cinq-Mars (Paris, FR)

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Smart ECGs: bridging technology and cardiovascular care

The Event

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ESC Congress 2025

1 September 2025 10:15 CET

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