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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
0
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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Abstract
Slides
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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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Abstract
Slides
0
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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Abstract
Slides
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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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Abstract
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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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Abstract
Slides
0
Physician vs machine: an innovative st-elevation myocardial infarction pathway through artificial intelligence
Speaker:
Doctor D. Vieira (Miami, US)
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Abstract
Slides
0
6
speakers
from this session
Doctor Alejandra Frauenfelder
Lumen Foundation, Miami (United States of America)
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follower
Doctor Sameer Mehta
Lumen Foundation, Miami (United States of America)
0
follower
Doctor Edina Cenko
University of Bologna, Bologna (Italy)
1
presentation
0
follower
Doctor James Milner
University Hospitals of Coimbra, Coimbra (Portugal)
0
follower
Doctor Daniel Vieira
Lumen Foundation, Miami (United States of America)
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follower
Doctor Daniel Vieira
Lumen Foundation, Miami (United States of America)
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follower
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