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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Detalhes bibliográficos

Principais autores:	Suying Pu, Shunjun Li, Jing Shao, Jixian Lin, Huanyin Li, Jinjiang Shen, Hui Zheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2026-01-01
coleção:	PeerJ
Assuntos:	Stroke Vascular structure Radiomics Machine learning 90-day mRS prediction prediction
Acesso em linha:	https://peerj.com/articles/20588.pdf
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