Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images

Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images

PurposeAcute Mesenteric Ischemia (AMI) is a critical condition marked by restricted blood flow to the intestine, which can lead to tissue necrosis and fatal outcomes. We aimed to develop a deep learning (DL) model based on CT angiography (CTA) imaging and clinical data to diagnose AMI.MethodsA retro...

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Bibliographic Details
Main Authors: Lei Song, Xuesong Zhang, Jian Zhang, Jie Wu, Jinkai Wang, Feng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
acute mesenteric ischemia
multiphase CT angiography
artificial intelligence
deep learning
disease diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1510357/full
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