Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.

Journal: BMC medical imaging
Published Date: Feb 17, 2022

Abstract

BACKGROUND: To investigate the influence of artificial intelligence (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists.

Authors

  • Xianjun Han
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 YongAn Road, Beijing, 100050, People's Republic of China.
  • Nan Luo
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
  • Lixue Xu
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 YongAn Road, Beijing, 100050, People's Republic of China.
  • Jiaxin Cao
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 YongAn Road, Beijing, 100050, People's Republic of China.
  • Ning Guo
  • Yi He
    National Institutes for Food and Drug Control, 2 Tiantan Xili, Beijing 100050, China.
  • Min Hong
    Department of Computer Software Engineering, Soonchunhyang University, Asan 31538, Korea.
  • Xibin Jia
    Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Zhenchang Wang
    School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Zhenghan Yang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

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