ESC Premium Access

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

Congress Presentation

About the speaker

Doctor Daniel Vieira

Lumen Foundation, Miami (United States of America)
0 follower

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)


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

Speaker: Doctor S. Mehta (Miami, US)


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

Speaker: Doctor E. Cenko (Bologna, IT)


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)


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

Speaker: Doctor D. Vieira (Miami, US)


Access the full session

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

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

About the event


ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb