Clinical assessment of an AI tool for measuring biventricular parameters on cardiac MR

IntroductionCardiac magnetic resonance (CMR) is of diagnostic and prognostic value in a range of cardiopulmonary conditions. Current methods for evaluating CMR studies are laborious and time-consuming, contributing to delays for patients. As the demand for CMR increases, there is a growing need to a...

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Bibliografiske detaljer

Principais autores:	Mahan Salehi, Ahmed Maiter, Scarlett Strickland, Ziad Aldabbagh, Kavita Karunasaagarar, Richard Thomas, Tristan Lopez-Dee, Dave Capener, Krit Dwivedi, Michael Sharkey, Pete Metherall, Rob van der Geest, Samer Alabed, Andrew J. Swift
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2024-02-01
Serier:	Frontiers in Cardiovascular Medicine
Fag:	cardiac magnetic resonance imaging artificial intelligence segmentation time-saving
Online adgang:	https://www.frontiersin.org/articles/10.3389/fcvm.2024.1279298/full
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