Open Access

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

Event: ESC CONGRESS 2019
Topic: European Society of Cardiology
Session type: Poster Session
Date: 3 September 2019

Session

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

Speaker: Doctor J. Milner (Coimbra, PT)
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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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6 speakers from this session

Doctor Alejandra Frauenfelder

Lumen Foundation, Miami (United States of America)
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Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)
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Doctor Edina Cenko

University of Bologna, Bologna (Italy)
1 presentation
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Doctor James Milner

University Hospitals of Coimbra, Coimbra (Portugal)
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Doctor Daniel Vieira

Lumen Foundation, Miami (United States of America)
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Doctor Daniel Vieira

Lumen Foundation, Miami (United States of America)
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