Development and validation of an artificial intelligence system for triple-negative breast cancer identification and prognosis prediction: a multicentre retrospective study

National Natural Science Foundation of China; Hong Kong Innovation and Technology Commission; Zhejiang Provincial Natural Science Foundation of China; and National Health Commission Scientific Research Fund, China.

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Publication Details

Journal
EClinicalMedicine
Published
2025-10-10
DOI
https://doi.org/10.1016/j.eclinm.2025.103557
Citations
2
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
4.96

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article

Development and validation of an artificial intelligence system for triple-negative breast cancer identification and prognosis prediction: a multicentre retrospective study

Caiyun Yao, Mao-Tong Hu, Fang Zhou, Hao Chen et al.
2 citations
EClinicalMedicine
AI in cancer detection
4.96
article

Development and validation of an artificial intelligence system for triple-negative breast cancer identification and prognosis prediction: a multicentre retrospective study

Caiyun Yao, Mao-Tong Hu, Fang Zhou, Hao Chen, Qing Chen, Xi Wang, Jing Zhang, Jingping Wang, Jili Wang, Yuhua Fu, Cheng Jin, Huajun Zhou, Xiuming Zhang, Bo Luo, Ya-Li Xu, Qiu-Yu Cai, Yang Xia
article en
2 citations

Abstract

National Natural Science Foundation of China; Hong Kong Innovation and Technology Commission; Zhejiang Provincial Natural Science Foundation of China; and National Health Commission Scientific Research Fund, China.

EClinicalMedicineVol. 89
Chinese University of Hong Kong (HK), Hong Kong University of Science and Technology (HK), Sir Run Run Shaw Hospital (CN), Shandong Provincial Hospital (CN), Central Hospital of Wuhan (CN), Jinhua Central Hospital (CN), Shandong First Medical University (CN), First Affiliated Hospital Zhejiang University (CN), Huazhong University of Science and Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Innovation and Technology Commission, Xidian University, Hong Kong University of Science and Technology, National Health Commission of the People's Republic of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 5%
AI in cancer detection
4.96
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