Knowledge and Awareness of Generative Artificial Intelligence Use in Medicine Among International Stakeholders: A Cross-Sectional Study.

Journal: Journal of evidence-based medicine
Published Date:

Abstract

OBJECTIVE: To assess the knowledge, attitudes, and practices (KAP) of medical stakeholders regarding the use of generative artificial intelligence (GAI) tools.

Authors

  • Xufei Luo
    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Bingyi Wang
    School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Yule Li
    Editorial Office of Medical Journal of Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Shuang Liu
    Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
  • Haodong Li
    Divisions of Epidemiology & Biostatistics, University of California, Berkeley, Berkeley, California, USA.
  • Yaxuan Ren
    School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Wah Yang
    Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Kyle Lam
    Department of Surgery and Cancer, Imperial College London, London, UK.
  • Stephen R Ali
    Reconstructive Surgery and Regenerative Medicine Research Centre, Swansea University, Swansea, UK.
  • Gemma Sharp
    Department of Neuroscience, Monash University, Melbourne, Australia.
  • Fabio Ynoe Moraes
    Department of Oncology, Queen's University, Kingston, Canada.
  • Ye Wang
    College of Computer Science and Technology, Jilin University, Changchun 130012, China.
  • Di Zhu
    Urology Section, Department of Surgery, Veterans Affairs Health Care System, Durham, NC.
  • Zhenhua Yang
    School of Chinese Medicine, Vincent V.C. Woo Chinese Medicine Clinical Research Institute, Hong Kong Baptist University, Hong Kong, China.
  • Daher Mohammad
    Orthopedic Department, Hôtel Dieu de France, Beirut, Lebanon.
  • Robert Fruscio
    Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.
  • Maged N Kamel Boulos
    School of Information Management, Sun Yat-sen University, East Campus, Guangzhou, 510006, Guangdong, China. mnkboulos@mail.sysu.edu.cn.
  • Zhicheng Lin
    Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, United Kingdom.
  • Kazuki Ide
    Division of Scientific Information and Public Policy, Center for Infectious Disease Education and Research (CiDER), Osaka University.
  • Xuping Song
    Department of Social Medicine and Health Management, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Yih Chung Tham
    Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. thamyc@nus.edu.sg.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Long Ge
    Department of Health Policy and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
  • Yaolong Chen
    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Zhaoxiang Bian
    School of Chinese Medicine, Vincent V.C. Woo Chinese Medicine Clinical Research Institute, Hong Kong Baptist University, Hong Kong, China.