A progression risk assessment model for pulmonary ground-glass nodules based on traditional Chinese medicine clinical symptoms combined with imaging
Ayidana Maolan Xiao-ling Ren Juan Li Tian-heng Sun Wei Yang Rui Liu Bao-jin Hua Le-hua Yu Yue Li Zhao-shuai Yan Xing-hua Xiang Lin-feng Wang Qiu-jun Guo Jia-qi Hu Guang-hui Zhang
A progression risk assessment model for pulmonary ground-glass nodules based on traditional Chinese medicine clinical symptoms combined with imaging
A progression risk assessment model for pulmonary ground-glass nodules based on traditional Chinese medicine clinical symptoms combined with imaging
摘要
关键词
Artificial intelligence/Cancer prevention/Traditional Chinese medicine/Feature fusion/Pulmonary ground-glass nodules/Disease progression/Risk assessment modelKey words
Artificial intelligence/Cancer prevention/Traditional Chinese medicine/Feature fusion/Pulmonary ground-glass nodules/Disease progression/Risk assessment model引用本文复制引用
Ayidana Maolan,Xiao-ling Ren,Juan Li,Tian-heng Sun,Wei Yang,Rui Liu,Bao-jin Hua,Le-hua Yu,Yue Li,Zhao-shuai Yan,Xing-hua Xiang,Lin-feng Wang,Qiu-jun Guo,Jia-qi Hu,Guang-hui Zhang..A progression risk assessment model for pulmonary ground-glass nodules based on traditional Chinese medicine clinical symptoms combined with imaging[J].结合医学学报(英文版),2026,24(3):376-386,11.基金项目
This study was supported by Capital's Funds for Health Improvement and Research(No.2024-2-4153),the National Natu-ral Science Foundation of China(No.82274609 and No.82174465),the Scientific and Technological Innovation Project of China Acad-emy of Chinese Medical Sciences(No.CI2021A01808,No.CI2021A01810,No.CI2021B009,No.CI2021A04706 and No.CI2021B003),Noncommunicable Chronic Diseases-National Science and Technology Major Project(No.2023ZD0502500 and No.2023ZD0502502),and High-level Chinese Medical Hospital Promotion Project(No.HLCMHPP2023101 and No.HLCMHPP2023085). (No.2024-2-4153)