2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative.
Journal:
JACC. Cardiovascular imaging
PMID:
39001730
Abstract
BACKGROUND: Global longitudinal strain (GLS) is reported to be more reproducible and prognostic than ejection fraction. Automated, transparent methods may increase trust and uptake.
Authors
Keywords
Biomechanical Phenomena
Consensus
Datasets as Topic
Echocardiography
Global Longitudinal Strain
Humans
Image Interpretation, Computer-Assisted
Machine Learning
Myocardial Contraction
Neural Networks, Computer
Observer Variation
Predictive Value of Tests
Reproducibility of Results
United Kingdom
Ventricular Dysfunction, Left
Ventricular Function, Left