Artificial Intelligence and Radiologist Burnout.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI.

Authors

  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Ning Ding
    Graduate School of Global Convergence, Kangwon National University, Chuncheon-si, Kangwon Province, 24341, Republic of Korea.
  • Xinying Li
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences Beijing, China.
  • Yunli Chen
    Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Hao Sun
    Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
  • Yuanyuan Huang
    College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China.
  • Chen Liu
    Department of Radiology, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.
  • Pengpeng Ye
    National Centre for Non-Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China.
  • Zhengyu Jin
    Departments of Radiology, Peking Union Medical College Hospital, Beijing.
  • Heling Bao
    Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
  • Huadan Xue
    From the Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. Electronic address: bjdanna95@163.com.