Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

被引:601
作者
Zhang, Kang [1 ]
Liu, Xiaohong [2 ,3 ]
Shen, Jun [4 ,5 ,6 ,7 ]
Li, Zhihuan [8 ,9 ,10 ]
Sang, Ye [11 ]
Wu, Xingwang [12 ]
Zha, Yunfei [13 ]
Liang, Wenhua [14 ,15 ]
Wang, Chengdi [8 ,9 ]
Wang, Ke [2 ,3 ]
Ye, Linsen [16 ,17 ]
Gao, Ming [4 ,5 ,6 ,7 ]
Zhou, Zhongguo [1 ]
Li, Liang [13 ]
Wang, Jin [16 ,17 ]
Yang, Zehong [4 ,5 ,6 ,7 ]
Cai, Huimin [10 ]
Xu, Jie [1 ]
Yang, Lei [10 ]
Cai, Wenjia [10 ]
Xu, Wenqin [1 ]
Wu, Shaoxu [4 ,5 ,6 ,7 ]
Zhang, Wei [4 ,5 ,6 ,7 ]
Jiang, Shanping [4 ,5 ,6 ,7 ]
Zheng, Lianghong [10 ,18 ,19 ]
Zhang, Xuan [2 ,3 ]
Wang, Li [13 ]
Lu, Liu [10 ,18 ,19 ]
Li, Jiaming [10 ,18 ,19 ]
Yin, Haiping [20 ]
Wang, Winston [1 ]
Li, Oulan [10 ]
Zhang, Charlotte [10 ]
Liang, Liang [11 ]
Wu, Tao [11 ]
Deng, Ruiyun [1 ,18 ,19 ]
Wei, Kang [1 ]
Zhou, Yong [1 ]
Chen, Ting [2 ,3 ]
Lau, Johnson Yiu-Nam [21 ]
Fok, Manson [1 ]
He, Jianxing [14 ,15 ]
Lin, Tianxin [4 ,5 ,6 ,7 ]
Li, Weimin [8 ,9 ]
Wang, Guangyu [2 ,3 ]
机构
[1] Macau Univ Sci & Technol, Fac Med, Macau, Peoples R China
[2] Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
[3] Tsinghua Univ, BNRist, Beijing, Peoples R China
[4] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Urol, Guangzhou, Peoples R China
[5] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Radiol, Guangzhou, Peoples R China
[6] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Emergency Med, Guangzhou, Peoples R China
[7] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Resp Med, Guangzhou, Peoples R China
[8] Sichuan Univ, West China Sch Med, West China Hosp, Ctr Translat Innovat, Chengdu, Peoples R China
[9] Sichuan Univ, West China Sch Med, West China Hosp, Dept Resp & Crit Care Med, Chengdu, Peoples R China
[10] Guangzhou Regenerat Med & Hlth Guangdong Lab, Guangzhou, Peoples R China
[11] China Three Gorges Univ, Coll Clin Med Sci 1, Yichang, Peoples R China
[12] Anhui Med Univ, Affiliated Hosp 1, Dept Radiol, Hefei, Peoples R China
[13] Wuhan Univ, Renmin Hosp, Dept Radiol, Dept Infect Prevent & Control, Wuhan, Peoples R China
[14] Guangzhou Med Univ, China State Key Lab, Affiliated Hosp 1, Dept Thorac Surg Oncol, Guangzhou, Peoples R China
[15] Natl Clin Res Ctr Resp Dis, Guangzhou, Peoples R China
[16] Sun Yat Sen Univ, Sun Yat Sen Affiliated Hosp 1, Dept Radiol, Guangzhou, Peoples R China
[17] Sun Yat Sen Univ, Sun Yat Sen Affiliated Hosp 1, Liver Dis Ctr, Guangzhou, Peoples R China
[18] Guangzhou Kangrui Technol Co, Guangzhou, Peoples R China
[19] Guangzhou HuiBoRui Biol Pharmaceut Technol Co Ltd, Guangzhou, Peoples R China
[20] First Peoples Hosp Yunnan Prov, Kunming, Peoples R China
[21] Hong Kong Polytech Univ, Dept Appl Biol & Chem Technol, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
DIABETIC-RETINOPATHY; DEEP; CORONAVIRUS; VALIDATION; DISEASES; NETWORK; IMAGES; CHINA; RISK; CT;
D O I
10.1016/j.cell.2020.04.045
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid diagnosis and identification of high-risk patients for early intervention are challenging. Using a large computed tomography (CT) database from 3,777 patients, we developed an AI system that can diagnose NCP and differentiate it from other common pneumonia and normal controls. The AI system can assist radiologists and physicians in performing a quick diagnosis especially when the health system is overloaded. Significantly, our AI system identified important clinical markers that correlated with the NCP lesion properties. Together with the clinical data, our AI system was able to provide accurate clinical prognosis that can aid clinicians to consider appropriate early clinical management and allocate resources appropriately. We have made this AI system available globally to assist the clinicians to combat COVID-19.
引用
收藏
页码:1423 / +
页数:22
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