AutoCOPD–A novel and practical machine learning model for COPD detection using whole-lung inspiratory quantitative CT measurements: a retrospective, multicenter study

The National Natural Science Foundation of China, Guangzhou Laboratory, Natural Science Foundation of Guangdong Province, Guangzhou Municipal Science and Technology grant, State Key Laboratory of Respiratory Disease.

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Publication Details

Journal
EClinicalMedicine
Published
2025-04-01
DOI
https://doi.org/10.1016/j.eclinm.2025.103166
Citations
6
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
9.11
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article

AutoCOPD–A novel and practical machine learning model for COPD detection using whole-lung inspiratory quantitative CT measurements: a retrospective, multicenter study

Wenju Lu, Fanjie Lin, Yu Ma, Jiaxuan Xu et al.
6 citations
EClinicalMedicine
Chronic Obstructive Pulmonary Disease (COPD) Research
9.11
article

AutoCOPD–A novel and practical machine learning model for COPD detection using whole-lung inspiratory quantitative CT measurements: a retrospective, multicenter study

Wenju Lu, Fanjie Lin, Yu Ma, Jiaxuan Xu, Qingpeng Zeng, Wenhua Liang, Zhenyu Liang, Yuan Liang, Runmin Huang, Xinguang Wei, Yun Liu, Qiang Ma, Jian Wang, Yuanyuan Li, Tianchi Xiao, Zili Zhang, Jianxing He, Cuixia Liang, J. Zhuang, Ruoyao Shi, Nanshan Zhong, Huai Chen, Xiansheng Zeng, Jingyi Xu, Jinping Zheng, Lulu Wu
article en
6 citations

Abstract

The National Natural Science Foundation of China, Guangzhou Laboratory, Natural Science Foundation of Guangdong Province, Guangzhou Municipal Science and Technology grant, State Key Laboratory of Respiratory Disease.

EClinicalMedicineVol. 82
Guangzhou Experimental Station (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), First Affiliated Hospital of Guangzhou Medical University (CN), Hubei University of Arts and Science (CN), Xiangyang Central Hospital (CN), Second Affiliated Hospital of Xi'an Jiaotong University (CN), Neusoft (China) (CN), State Key Laboratory of Respiratory Disease (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 2%
Chronic Obstructive Pulmonary Disease (COPD) Research
9.11
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