AI detection of mild COVID-19 pneumonia from chest CT scans.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: An artificial intelligence model was adopted to identify mild COVID-19 pneumonia from computed tomography (CT) volumes, and its diagnostic performance was then evaluated.

Authors

  • Jin-Cao Yao
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China.
  • Tao Wang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Guang-Hua Hou
    Department of Infection Medicine, Huangpi People's Hospital of Jianghan University, Wuhan, China.
  • Di Ou
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Qiao-Dan Zhu
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China.
  • Wen-Cong Chen
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, USA.
  • Chen Yang
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Li-Jing Wang
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China.
  • Li-Ping Wang
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China.
  • Lin-Yin Fan
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China.
  • Kai-Yuan Shi
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Dong Xu
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.
  • Ya-Qing Li
    Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of East Banshan Road, Hangzhou, Zhejiang Province, China. yaqing_li@163.com.