Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care.

Journal: EBioMedicine
Published Date: Apr 4, 2020

Abstract

BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excessive cumulative radiation exposure. To date, AI has not been applied to CT for enhancing clinical care; thus, we hypothesize AI may empower CT with intelligence to realize automatic and accurate pulmonary scanning, thus dramatically decrease medical radiation exposure without compromising patient care.

Authors

  • Yang Wang
    Department of General Surgery The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology Kunming China.
  • Xiaofan Lu
    Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China.
  • Yingwei Zhang
    Department of Respiratory, the Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Kun Wang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Jiani Liu
    School of Public Health, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
  • Xin Li
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Renfang Hu
    Department of Research Center of CT BU, Shanghai United Imaging Healthcare Co., Ltd., 2258 Chengbei Rd., Jiading District, Shanghai 201800, PR China.
  • Xiaolin Meng
    Department of Research Center of CT BU, Shanghai United Imaging Healthcare Co., Ltd., 2258 Chengbei Rd., Jiading District, Shanghai 201800, PR China.
  • Shidan Dou
    Department of Research Center of CT BU, Shanghai United Imaging Healthcare Co., Ltd., 2258 Chengbei Rd., Jiading District, Shanghai 201800, PR China.
  • Huayin Hao
    Department of Research Center of CT BU, Shanghai United Imaging Healthcare Co., Ltd., 2258 Chengbei Rd., Jiading District, Shanghai 201800, PR China.
  • Xiaofen Zhao
    Department of Research Center of CT BU, Shanghai United Imaging Healthcare Co., Ltd., 2258 Chengbei Rd., Jiading District, Shanghai 201800, PR China.
  • Wei Hu
    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Yaozong Gao
  • Zhishun Wang
    Department of Psychiatry and Translational Imaging, Columbia University & NYSPI, USA. Electronic address: zw2105@columbia.edu.
  • Guangming Lu
    Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
  • Fangrong Yan
    Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China.
  • Bing Zhang
    School of Information Science and Engineering, Yanshan University, Hebei Avenue, Qinhuangdao, 066004, China.

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