Performance of a Deep Learning-Based Fetal Magnetic Resonance Imaging System in the Assessment of Fetal Growth Restriction and Placental Insufficiency

Background: Fetal growth restriction (FGR) and placental insufficiency (PI) are major contributors to adverse perinatal outcomes, and early identification remains clinically challenging. This study aimed to evaluate the utility of artificial intelligence (AI)-based fetal magnetic...

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Автори:	Yujin Zhang, Kaiming Li, Xiangao Lei, Bo Zhang, Fumin Zhao
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IMR Press 2026-03-01
Серія:	Clinical and Experimental Obstetrics & Gynecology
Предмети:	deep learning fetal growth retardation placental insufficiency magnetic resonance imaging image enhancement artificial intelligence
Онлайн доступ:	https://www.imrpress.com/journal/CEOG/53/3/10.31083/CEOG45232
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