Back

Incremental prognostic value of fully-automatic LVEF by stress CMR using machine learning

10 May 2023 (11:55 - 12:04)
Organised by:
Congress Presentation Part of: Implementing Artificial intelligence into my clinical practice Stress Cardiac Magnetic Resonance (CMR) EACVI Premium Access EACVI 2023

About the speaker

Photo
Doctor Theo Pezel

Lariboisiere APHP Site of Saint Louis University Hospital, Paris (France)

5 More presentations in this session

Presentation thumbnail
Characterisation of responder profiles for cardiac resynchronisation therapy based on explainable machine-learning and virtual patient approaches
Miss M. Taconne (Milan, IT)
Abstract Slides Video
Presentation thumbnail
Use of an echocardiographic-based, artificial intelligence system to improve racial disparities in care of patients with valvular heart disease
Doctor G. Horde (Birmingham, US)
Abstract Slides Video
Presentation thumbnail
A deep learning approach to predict myocardial fibrosis in early contrast-enhanced CCT images
Doctor M. Carerj (Milan, IT)
Abstract Slides Video
Presentation thumbnail
External validation of a deep learning algorithm for automated echocardiographic strain measurements
Doctor Y. Hummel (Groningen, NL)
Abstract Slides Video
Presentation thumbnail
Echocardiographic assessment with explainable artificial intelligence for the classification of pulmonary hypertension - Japanese Society of Echocardiography Young Investigator Award winner
Mrs Y. Hirata (Tokushima, JP)
Slides Video

Access the full session

Session thumbnail
Implementing Artificial intelligence into my clinical practice
Video

The Event

Event poster

EACVI 2023

10 May 2023 11:55 CET
You may be interested in
thumbnail
Congress Presentation
Incremental prognostic value of fully automatic LVEF measured at stress using machine learning
thumbnail
Congress Session
Advances in Science in imaging in heart failure
thumbnail
Congress Presentation
Respect the septoapical region - deep learning enhanced estimation of left ventricular ejection fraction: application in transthoracic and point-of-care echocardiography

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources