Prediction of prognosis in acute ischemic stroke after mechanical thrombectomy based on multimodal MRI radiomics and deep learning

Prediction of prognosis in acute ischemic stroke after mechanical thrombectomy based on multimodal MRI radiomics and deep learning

BackgroundAcute ischemic stroke (AIS) is a major global health threat associated with high rates of disability and mortality, highlighting the need for early prognostic assessment to guide treatment. Currently, there are no reliable methods for the early prediction of poor prognosis in AIS, especial...

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Bibliographic Details
Main Authors: Lei Pei, Xiaowei Han, Chenfeng Ni, Junli Ke
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Neurology
Subjects:
multimodal MRI
radiomics
deep learning
acute ischemic stroke
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1587347/full
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