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Can machine learning help us improve risk stratification of diabetic patients with acute coronary syndromes? The answer will blow your mind

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About the speaker

Doctor James Milner

University Hospitals of Coimbra, Coimbra (Portugal)
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5 more presentations in this session

Increasing the accuracy of a machine learning algorithm for stemi diagnosis by incorporating demographic variables

Speaker: Doctor A. Frauenfelder (Miami, US)

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The continued proficiency of artificial intelligence for interpreting ekg: single lead ekg for stemi culprit lesion localization

Speaker: Doctor S. Mehta (Miami, US)

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Machine learning in critical care: the role of diabetes and age in acute coronary syndromes

Speaker: Doctor E. Cenko (Bologna, IT)

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Can cardiologists rely on artificial intelligence to identify the culprit vessel in stemi?

Speaker: Doctor D. Vieira (Miami, US)

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Physician vs machine: an innovative st-elevation myocardial infarction pathway through artificial intelligence

Speaker: Doctor D. Vieira (Miami, US)

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Access the full session

Poster Session 7 - Acute Coronary Syndromes - Risk stratification, machine learning

Speakers: Doctor J. Milner, Doctor A. Frauenfelder, Doctor S. Mehta, Doctor E. Cenko, Doctor D. Vieira...
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ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

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