Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping.

Journal: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Published Date: Dec 18, 2022

Abstract

PURPOSE: To analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field of nursing, and to provide a reference for researchers to carry out related studies.

Authors

  • Jiyuan Shi
    School of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Shuaifang Wei
    School of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Ya Gao
    BGI-Shenzhen, Shenzhen, China.
  • Fan Mei
    School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China.
  • Jinhui Tian
    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Yang Zhao
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Zheng Li
    Department of Integrated Pulmonology, Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, Xinjiang, China.

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