Back

Artificial intelligence-guided, single-lead EKG may be a game-changer for symptom-to-balloon time reduction in ST-elevated myocardial infarction

26 August 2022 (08:00 - 19:30)
Organised by:
Congress Presentation Part of: Novel analysis technics in coronary artery disease Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2022

About the speaker

Photo
Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)

5 More presentations in this session

Presentation thumbnail
Predicting risk of future acute coronary syndromes, 1-year survival and the need for coronary angiography in unstable angina: A Nationwide Machine Learning Study
Doctor A. Myredal (Gothenburg, SE)
Abstract Slides Video
Presentation thumbnail
Prediction of all-cause mortality in cardiovascular patients by using machine learning models
Doctor A. Sakellarios (Rio-Patras, GR)
Abstract Slides Video
Presentation thumbnail
Optical Coherence Tomography and Artificial Intelligence for calcium quantification in coronary disease of diabetic patients.
Doctor F. Di Muro (Salerno, IT)
Abstract Slides Video
Presentation thumbnail
Deep learning to detect significant coronary artery disease from plain chest radiographs
Doctor G. d'ancona (Berlin, DE)
Abstract Slides Video
Presentation thumbnail
Development and validation of non-invasive endothelial shear stress (ESS) estimations of coronary artery haemodynamics using computational modelling.
Doctor J. Chan (Adelaide, AU)
Abstract Slides Video

Access the full session

Session thumbnail
Novel analysis technics in coronary artery disease

The Event

Event poster

ESC Congress 2022

26 August - 29 August 2022
You may be interested in
thumbnail
Congress Presentation
ECG in acute coronary syndromes: what does AI see that I don’t?
thumbnail
Congress Presentation
Diagnostic accuracy of artificial intelligence (AI)-based models for acute myocardial infarction: a systematic review and meta-analysis
thumbnail
Congress Presentation
International evaluation of an artificial intelligence powered electrocardiogram model detecting acute coronary occlusion myocardial infarction

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources