Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-11-11
DOI
https://doi.org/10.1186/s12911-025-03227-w
Citations
1
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
1.52

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article

Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis

Keqiang Shu, Zhichao Lai, Junye Chen, Yuyao Feng et al.
1 citations
BMC Medical Informatics and Decision Making
Cerebrovascular and Carotid Artery Diseases
1.52
article

Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis

Keqiang Shu, Zhichao Lai, Junye Chen, Yuyao Feng, Yiyun Xie, Yuru Wang, Kang Li, Bao Liu, Jiang Shao, Chaonan Wang, Huanyu Dai, Leyin Xu, Lin Wang
article en
1 citations

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision MakingVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
National Natural Science Foundation of China, Peking Union Medical College, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 13%
Cerebrovascular and Carotid Artery Diseases
1.52
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Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis — Keqiang Shu, Zhichao Lai, et al. · BMC Medical Informatics and Decision Making (2025) | TGRS Research Map | TGRS