Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study.

Journal: BMC nursing
Published Date: Aug 18, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) shows great potential to improve clinical nursing practices. However, concerns and challenges related to its implementation have led to resistance among nurses, hindering the widespread use of AI tools in healthcare. This study aimed to apply the Unified Theory of Acceptance and Use of Technology (UTAUT) model to medical AI in Chinese nursing and to examine the relationships specified within the established theoretical framework.

Authors

  • Qianqian Dai
    Center for Data Science in Clinical Medicine, Peking University Third Hospital, Beijing, China.
  • Ming Li
    Radiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
  • Shiwu Shi
    School of Basic Medicine, Peking University, Beijing, China.
  • Maoshu Yang
    School of Basic Medicine, Peking University, Beijing, China.
  • Zhaoyu Wang
  • Jiaojiao Liao
    Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
  • Zhaoji Li
    Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
  • Jun Deng
    Department of Therapeutic Radiology, Yale University, New Haven, CT, U.S.A.
  • Liyuan Tao
    Center for Data Science in Clinical Medicine, Peking University Third Hospital, Beijing, China.

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