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Interethnic validation of an artificial intelligence algorithm for prediction of atrial fibrillation using sinus rhythm electrocardiogram

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond Electrocardiogram (ECG) and Arrhythmia Analysis ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Associate Professor Ji Hyun Lee

Seoul National University Bundang Hospital, Seongnam (Korea (Republic of))

5 More presentations in this session

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Unsupervised electrocardiogram feature extraction using deep learning empowers discovery of genetic and phenotypic determinants of cardiac electrophysiology
Doctor E. Sieliwonczyk (Edegem, BE)
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Artificial intelligence applied to electrocardiographic images for scalable screening of cardiac amyloidosis
Mr V. Sangha (New Haven, US)
Abstract Slides Video
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Long-term time-to-ventricular arrhythmic event prediction using a deep learning based model on the electrocardiogram signal
Doctor J. Ramirez (Zaragoza, ES)
Abstract Slides Video
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A novel 12-lead standard ECG derived scoring system for risk stratification in the emergency department
Doctor F. Theurl (Innsbruck, AT)
Abstract Slides Video
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121 year after Einthoven: show me the normal ECG?
Doctor P. Van Dam (Cracow, PL)
Abstract Slides Video

Access the full session

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Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond
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The Event

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ESC Congress 2024

30 August - 2 September 2024
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