Machine learning models for predicting futile recanalisation after endovascular treatment in patients with large core infarction

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Publication Details

Journal
Stroke and Vascular Neurology
Published
2026-01-29
DOI
https://doi.org/10.1136/svn-2025-004258
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning models for predicting futile recanalisation after endovascular treatment in patients with large core infarction

Ketao Tu, Yawen Gan, Zhenfei Yu, Shuang Song et al.
Stroke and Vascular Neurology
Acute Ischemic Stroke Management
article

Machine learning models for predicting futile recanalisation after endovascular treatment in patients with large core infarction

Ketao Tu, Yawen Gan, Zhenfei Yu, Shuang Song, Dingwen Zhang, Fangguang Chen, Xu Tong, Yuesong Pan, Jie He, Dapeng Mo, Zhongrong Miao, Zhongao Guan
article en

Abstract

No abstract available for this paper.
Stroke and Vascular Neurology
Hebei Medical University (CN), Capital Medical University (CN), Beijing Tian Tan Hospital (CN), National Clinical Research Center for Digestive Diseases (CN), Second Hospital of Hebei Medical University (CN)
Beijing Municipal Administration of Hospitals, National Science and Technology Major Project
Openalex Percentile: Top 73%
Acute Ischemic Stroke Management
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Machine learning models for predicting futile recanalisation after endovascular treatment in patients with large core infarction — Ketao Tu, Yawen Gan, et al. · Stroke and Vascular Neurology (2026) | TGRS Research Map | TGRS