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Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.
Zhang, Kang; Liu, Xiaohong; Shen, Jun; Li, Zhihuan; Sang, Ye; Wu, Xingwang; Zha, Yunfei; Liang, Wenhua; Wang, Chengdi; Wang, Ke; Ye, Linsen; Gao, Ming; Zhou, Zhongguo; Li, Liang; Wang, Jin; Yang, Zehong; Cai, Huimin; Xu, Jie; Yang, Lei; Cai, Wenjia; Xu, Wenqin; Wu, Shaoxu; Zhang, Wei; Jiang, Shanping; Zheng, Lianghong; Zhang, Xuan; Wang, Li; Lu, Liu; Li, Jiaming; Yin, Haiping; Wang, Winston; Li, Oulan; Zhang, Charlotte; Liang, Liang; Wu, Tao; Deng, Ruiyun; Wei, Kang; Zhou, Yong; Chen, Ting; Lau, Johnson Yiu-Nam; Fok, Manson; He, Jianxing; Lin, Tianxin; Li, Weimin; Wang, Guangyu.
Afiliação
  • Zhang K; Faculty of Medicine, Macau University of Science and Technology, Macau, China. Electronic address: kang.zhang@gmail.com.
  • Liu X; Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China.
  • Shen J; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Li Z; Center for Translational Innovations and Department of Respiratory and Critical Care Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
  • Sang Y; The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
  • Wu X; Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zha Y; Department of Radiology, Department of Infection Prevention and Control, Renmin Hospital, Wuhan University, Wuhan, China.
  • Liang W; Department of Thoracic Surgery/Oncology, the First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou, China.
  • Wang C; Center for Translational Innovations and Department of Respiratory and Critical Care Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
  • Wang K; Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China.
  • Ye L; Department of Radiology, and Liver Disease Center, Sun Yat-Sen Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Gao M; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Zhou Z; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Li L; Department of Radiology, Department of Infection Prevention and Control, Renmin Hospital, Wuhan University, Wuhan, China.
  • Wang J; Department of Radiology, and Liver Disease Center, Sun Yat-Sen Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Yang Z; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Cai H; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
  • Xu J; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Yang L; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
  • Cai W; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
  • Xu W; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Wu S; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Zhang W; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Jiang S; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Zheng L; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China; Guangzhou Kangrui AI Technology Co. and Guangzhou HuiBoRui Biological Pharmaceutical Technology Co., Ltd, Guangzhou, China.
  • Zhang X; Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China.
  • Wang L; Department of Radiology, Department of Infection Prevention and Control, Renmin Hospital, Wuhan University, Wuhan, China.
  • Lu L; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China; Guangzhou Kangrui AI Technology Co. and Guangzhou HuiBoRui Biological Pharmaceutical Technology Co., Ltd, Guangzhou, China.
  • Li J; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China; Guangzhou Kangrui AI Technology Co. and Guangzhou HuiBoRui Biological Pharmaceutical Technology Co., Ltd, Guangzhou, China.
  • Yin H; The First People's Hospital of Yunnan Province, Kunmin, China.
  • Wang W; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Li O; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
  • Zhang C; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
  • Liang L; The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
  • Wu T; The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
  • Deng R; Faculty of Medicine, Macau University of Science and Technology, Macau, China; Guangzhou Kangrui AI Technology Co. and Guangzhou HuiBoRui Biological Pharmaceutical Technology Co., Ltd, Guangzhou, China.
  • Wei K; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Zhou Y; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Chen T; Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China.
  • Lau JY; Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong, China.
  • Fok M; Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • He J; Department of Thoracic Surgery/Oncology, the First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou, China. Electronic address: hejx@vip.163.com.
  • Lin T; Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. Electronic address: lintx@mail.sysu.edu.cn.
  • Li W; Center for Translational Innovations and Department of Respiratory and Critical Care Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China. Electronic address: weimi003@yahoo.com.
  • Wang G; Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China. Electronic address: wangguangyu@mail.tsinghua.edu.cn.
Cell ; 181(6): 1423-1433.e11, 2020 06 11.
Article em En | MEDLINE | ID: mdl-32416069
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Inteligência Artificial / Tomografia Computadorizada por Raios X / Infecções por Coronavirus Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Cell Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Inteligência Artificial / Tomografia Computadorizada por Raios X / Infecções por Coronavirus Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Cell Ano de publicação: 2020 Tipo de documento: Article