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An interpretable machine-learning model for predicting the need for diagnostic cerebral angiography in acute ischemic stroke patients in imaging-limited primary hospitals

Crossref DOI link: https://doi.org/10.1186/s12883-026-05371-w

Published Online: 2026-09-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Mingyu

Zhang, Le

Yang, Xiaoli

Cao, Xiaojie

Fan, Jin
License Information

Text and Data Mining valid from 2026-09-10

Accepted Manuscript valid from 2026-09-10
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Article History

Received: 21 January 2026

Accepted: 4 September 2026

First Online: 10 September 2026

Declarations

Ethics approval and consent to participate: This study followed the TRIPOD reporting guideline for prediction model studies and the principles of the Declaration of Helsinki, and was approved by the Ethics Committee of the General Hospital of the Western Theater Command. As this was a retrospective study, the requirement for written informed consent was waived. All patient-identifiable information was removed from the dataset prior to analysis.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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