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Use of machine learning to predict mortality in patients with type 2 diabetes mellitus, according to socioeconomic status

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Miss Narinder Kaur

University of Glasgow, Glasgow (United Kingdom of Great Britain & Northern Ireland)
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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

Speaker: Doctor S. Awasthi (Cambridge, US)

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Single-lead ECG based detection of arterial hypertension using artificial intelligence algorithms

Speaker: Doctor E. Angelaki (Cambridge, 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

Speaker: Doctor G. Kowlgi (Rochester, US)

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

Speaker: Doctor L. Vogel (Essen, DE)

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Harnessing the power of artificial intelligence in the clinic

Speakers: Miss N. Kaur, Doctor C. Hayward, Doctor S. Awasthi, Doctor E. Angelaki, Doctor G. Kowlgi...
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About the event

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ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations