Left ventricular assessment with artificial intelligence increases the diagnostic accuracy of stress echocardiography.

ABSTRACT:

Aims

To evaluate whether left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS), automatically calculated by artificial intelligence (AI), increases the diagnostic performance of stress echocardiography (SE) for coronary artery disease (CAD) detection.

Methods and results

SEs from 512 participants who underwent a clinically indicated SE (with or without contrast) for the evaluation of CAD from seven hospitals in the UK and US were studied. Visual wall motion scoring (WMS) was performed to identify inducible ischaemia. In addition, SE images at rest and stress underwent AI contouring for automated calculation of AI-LVEF and AI-GLS (apical two and four chamber images only) with Ultromics EchoGo Core 1.0. Receiver operator characteristic curves and multi

SUBMITTER: O'Driscoll JM 

PROVIDER: S-EPMC9580364 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature