The role of artificial intelligence in shaping nursing education: A comprehensive systematic review.

Journal: Nurse education in practice
PMID:

Abstract

AIM: This systematic review assesses AI's application, effectiveness and impact on nursing education, while identifying research limitations.

Authors

  • Jiatian Ma
    School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
  • Jiamin Wen
    School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
  • Ying Qiu
    Department of Endocrinology, The Affiliated Hospital of Yunnan University, Kunming, China.
  • Yuling Wang
    a Marine College Shandong University (weihai) , Shandong , China .
  • Qiao Xiao
    School of Computer Science, University of South China, Hengyang, Hunan, China.
  • Tingting Liu
    Center for Drug Safety Evaluation and Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
  • Dong Zhang
    Institute of Acoustics, Nanjing University, Nanjing 210093, China.
  • Yangyang Zhao
    Biomolecular Measurement Division, Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland20899, United States.
  • Zebang Lu
    School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
  • Zhiling Sun
    School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China. Electronic address: szl@njucm.edu.cn.