ESC 365 - Machine learning model using cardiovascular magnetic resonance to predict cardiovascular events in asymptomatic patients with known CAD

ESC Professional Premium Access

Machine learning model using cardiovascular magnetic resonance to predict cardiovascular events in asymptomatic patients with known CAD

Session: Clinical applications of artificial intelligence in cardiovascular imaging

Topic: Stress Cardiac Magnetic Resonance (CMR)

Speaker: Mr J. Amar (Neuilly Sur Seine, FR)

Event: ESC Congress 2024

Congress Presentation

Add to my library

About the speaker

Mr Jonas Amar

Neuilly Sur Seine (France)

0 follower

3 more presentations in this session

Clinical applications of artificial intelligence in cardiovascular imaging: state-of-the-art lecture

Speaker: Associate Professor J. Strom (Boston, US)

DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography

Speaker: Mr A. Long (New York, US)

Artificial intelligence-based automated plaque quantification from CCTA to predict acute coronary syndrome on top of obstructive or ischemic coronary artery disease

Speaker: Doctor S. Baer (Turku, FI)

Access the full session

Clinical applications of artificial intelligence in cardiovascular imaging

Speakers: Mr J. Amar, Associate Professor J. Strom, Mr A. Long, Doctor S. Baer

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources