Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls

Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls

<i>Background and Objectives</i>: Aortic stenosis (AS) leads to progressive left ventricular (LV) dysfunction, making early detection crucial. Global longitudinal strain (GLS) is an echocardiographic marker of subclinical LV dysfunction; however, echocardiography has limitations, includi...

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Main Authors: Žygimantas Abramikas, Ieva Jasiukevičiūtė, Giedrė Balčiūnaitė, Sigita Glaveckaitė, Darius Palionis, Nomeda Valevičienė
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Medicina
Subjects:
aortic stenosis
cardiac MRI
artificial intelligence
global longitudinal strain
echocardiography
myocardial strain
Online Access:https://www.mdpi.com/1648-9144/61/6/950
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