首页> Medical physics> Artificial intelligence-based CT metrics used in predicting clinical outcome of COVID-19 in young and middle-aged adults.

Artificial intelligence-based CT metrics used in predicting clinical outcome of COVID-19 in young and middle-aged adults.

导出 OA

翻译打印收藏纠错

第一作者： Yu,Xudong

第一单位： Department of Medical Imaging, Maternal and Child Health Hospital of Hubei Province, Wuhan, China.

作者： Yu,Xudong ^[1] ; Liu,Weihong ^[2] ; Xia,Feng ^[1] ; Li,Yanli ^[3] ; Lan,Weishun ^[1] ; Zhang,Fengjun ^[4] ; Gao,Jiao ^[2] ; Li,Jiawei ^[2] ; Huang,Xiaolu ^[2] ; Huang,Huailiang ^[5] ; Liang,Jianye ^[6] ; Zeng,Sihui ^[6] ; Xie,Chuanmiao ^[6] ; Li,Hanhui ^[7] ; Mao,Liang ^[7]

作者单位： Department of Medical Imaging, Maternal and Child Health Hospital of Hubei Province, Wuhan, China. ^[1] Department of Radiology, General Hospital of China Resources & Wuhan Iron and Steel Corporation, Wuhan, China. ^[2] Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan, China. ^[3] Jiangsu Digital Medical Laboratory, Nanjing University of Aeronautics and Astronautics, Nanjing, China. ^[4] Medical College of Soochow University, Suzhou, Jiangsu, China. ^[5] Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China. ^[6] Department of Research and Development, Shanghai United Imaging Intelligence Co. Ltd., Shanghai, China. ^[7]

关键词 COVID-19 artificial intelligence distribution outcome percentages of infection quantitative metrics