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

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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Bibliografiska uppgifter
Huvudupphovsmän: 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
Materialtyp: Artikel
Språk:English
Publicerad: Frontiers Media S.A. 2024-02-01
Serie:Frontiers in Cardiovascular Medicine
Ämnen:
cardiac
magnetic resonance imaging
artificial intelligence
segmentation
time-saving
Länkar:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1279298/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2024.1279298/full

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