AI-Based Strain Estimation in Echocardiography Using Open and Collaborative Data: The More Experts the Better?

JACC Cardiovasc Imaging. 2024 Aug;17(8):877-879. doi: 10.1016/j.jcmg.2024.05.020. Epub 2024 Jul 17.

Authors

Nicolas Duchateau¹, Gabriel Bernardino²

Affiliations

¹ Universite Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France; Institut Universitaire de France (IUF), Paris, France. Electronic address: nicolas.duchateau@creatis.insa-lyon.fr.
² BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

PMID: 39023498
DOI: 10.1016/j.jcmg.2024.05.020

No abstract available

Keywords: artificial intelligence; deep learning; echocardiography; strain imaging.

Publication types

Letter
Editorial

MeSH terms

Artificial Intelligence
Clinical Competence
Datasets as Topic
Echocardiography
Humans
Image Interpretation, Computer-Assisted*
Myocardial Contraction
Predictive Value of Tests*
Reproducibility of Results
Ventricular Function, Left*