Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.
Journal:
The international journal of cardiovascular imaging
Published Date:
Apr 29, 2025
Abstract
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction (LVEF) and volumes from cardiac magnetic resonance (CMR) imaging, in patients undergoing primary percutaneous coronary intervention for ST-elevation myocardial infarction. The reproducibility of GLS and other echocardiographic parameters derived with the AI-assisted software were also assessed.
Authors
Keywords
Aged
Artificial Intelligence
Echocardiography
Female
Global Longitudinal Strain
Humans
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging, Cine
Male
Middle Aged
Myocardial Contraction
Observer Variation
Percutaneous Coronary Intervention
Predictive Value of Tests
Reproducibility of Results
ST Elevation Myocardial Infarction
Stroke Volume
Treatment Outcome
Ventricular Function, Left
