ESC Premium Access

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

Congress Presentation

About the speaker

Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)
1 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)


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)


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

Speaker: Doctor D. Vieira (Miami, US)


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

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