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Combining hypothesis-driven ECG indices with machine learning improves ventricular arrhythmic risk prediction in a low-risk population

28 August 2023 (08:15 - 09:00)
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Congress Presentation Part of: Allow artificial intelligence to assist with diagnostic heavy lifting Electrocardiogram (ECG) and Arrhythmia Analysis ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Julia Ramirez

University of Zaragoza, Zaragoza (Spain)

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The exploratory clinical trial of AI-enabled Holter electrocardiogram for diagnosis of paroxysmal atrial fibrillation from sinus rhythm waveforms
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Doctor R. Herman (Aalst, BE)
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Allow artificial intelligence to assist with diagnostic heavy lifting

The Event

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ESC Congress 2023

28 August 2023 08:15 CET
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