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AI-powered 12-lead ECG analysis for detecting high-risk PFO or symptomatic ASD

30 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: Precision screening: artificial intelligence-enhanced cardiovascular risk assessment Deep Learning ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Karol Artur Sadowski

National Institute of Cardiology, Warsaw (Poland)

7 More presentations in this session

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Predicting cardiac index from routine coronary angiography videos using a 3d convolutional neural network
Doctor S. Chang (Taichung, TW)
Abstract Slides Video
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Human versus artificial intelligence–assisted ECG analysis for the detection of acute coronary occlusion in acute coronary syndrome
Mr L. Thomas (Montpellier, FR)
Abstract Slides Video
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SportsECG-FM: a sport-specific ECG interpretation algorithm enhancing athletes cardiac screening
Miss Y. Liu (Oxford, GB)
Abstract Slides Video
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Noninvasive prediction of functional coronary stenosis and multivessel disease in acute coronary syndrome using integrated lipidomics and machine learning
Mr W. Dai (Tianjin, CN)
Abstract Slides Video
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Retinal image based artificial intelligence biomarker for cardiovascular risk and cross-sectional association with coronary atherosclerosis
Doctor S. Papadopoulou (Thessaloniki, GR)
Abstract Slides Video

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Precision screening: artificial intelligence-enhanced cardiovascular risk assessment

The Event

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ESC Congress 2026

30 August 2026 14:15 CET
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