Integration of artificial intelligence in radiology education: a requirements survey and recommendations from faculty radiologists, residents, and medical students.

Journal: BMC medical education
PMID:

Abstract

BACKGROUND: To investigate the perspectives and expectations of faculty radiologists, residents, and medical students regarding the integration of artificial intelligence (AI) in radiology education, a survey was conducted to collect their opinions and attitudes on implementing AI in radiology education.

Authors

  • Ruili Li
    College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
  • Guangxue Liu
    Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, 100191, China.
  • Miao Zhang
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Dongdong Rong
    From the Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No. 45 Changchun St, Xicheng District, Beijing 100053, China (F.F., Y.S., M.Z., D.R., J.L.); Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China (F.F., Y.S., M.Z., D.R., J.L.); Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China (F.F.); Shukun (Beijing) Technology Co, Beijing, China (G.Y., C.Z.); and Department of Radiology, Shandong Provincial Hospital, Jinan, China (X.W.).
  • Zhuangzhi Su
    Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
  • Yi Shan
    From the Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No. 45 Changchun St, Xicheng District, Beijing 100053, China (F.F., Y.S., M.Z., D.R., J.L.); Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China (F.F., Y.S., M.Z., D.R., J.L.); Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China (F.F.); Shukun (Beijing) Technology Co, Beijing, China (G.Y., C.Z.); and Department of Radiology, Shandong Provincial Hospital, Jinan, China (X.W.).
  • Jie Lu
    Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.