Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory

Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory

Abstract Objectives This study aims to develop an imaging-based machine learning model for evaluating the severity of ischemic stroke in the middle cerebral artery (MCA) territory. Methods This retrospective study included 173 patients diagnosed with acute ischemic stroke (AIS) in the MCA territory...

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Bibliographic Details
Main Authors: Gang Xie, Jin Gao, Jian Liu, Xuwei Zhou, Zhengkai Zhao, Wuli Tang, Yue Zhang, Lingfeng Zhang, Kang Li
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Imaging
Subjects:
Ischemic stroke
Severity
Multidetector computed tomography
Machine learning
Online Access:https://doi.org/10.1186/s12880-025-01745-7
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https://doi.org/10.1186/s12880-025-01745-7

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