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Artificial intelligence (AI) enhanced ECG predicts obstructive cardiovascular disease and death using secondary data; a benchmarked comparison of different methods

27 August 2023 (08:15 - 08:50)
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Congress Presentation Part of: Harnessing the power of artificial intelligence in the clinic Artificial Intelligence ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Mr Lukas Hermann Vogel

University of Duisburg-Essen - West-German Heart and Vascular Centre, Essen (Germany)

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Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes
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Risk stratification of coronary artery disease using the artificial intelligence-enabled electrocardiogram
Doctor S. Awasthi (Cambridge, US)
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Use of machine learning to predict mortality in patients with type 2 diabetes mellitus, according to socioeconomic status
Miss N. Kaur (Glasgow, GB)
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Single-lead ECG based detection of arterial hypertension using artificial intelligence algorithms
Doctor E. Angelaki (Boston, US)
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Detection of left ventricular contractile dysfunction in patients with premature ventricular contractions using electrocardiogram trained using a deep learning model
Doctor G. Kowlgi (Rochester, US)
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Harnessing the power of artificial intelligence in the clinic

The Event

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ESC Congress 2023

27 August 2023 08:15 CET
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