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Integrating cerebrovascular morphology and radiomics features for predicting stroke prognosis: a retrospective study

Accurately predicting 90-day Modified Rankin Scale (mRS) scores for acute ischemic stroke (AIS) patients is crucial for guiding treatment strategies. However, many existing mRS prediction methods rely on clinicians to manually evaluate relevant features, and the accuracy of feature quantification an...

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Principais autores: Suying Pu, Shunjun Li, Jing Shao, Jixian Lin, Huanyin Li, Jinjiang Shen, Hui Zheng
Format: Artigo
Sprog:Inglês
Udgivet: PeerJ Inc. 2026-01-01
Serier:PeerJ
Fag:
Stroke
Vascular structure
Radiomics
Machine learning
90-day mRS prediction prediction
Online adgang:https://peerj.com/articles/20588.pdf
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