Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.

Journal: Journal of medical Internet research
Published Date: Aug 8, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, physicians and nurses play a pivotal role in integrating AI into clinical workflows. Their acceptance and use of AI are essential for bridging the gap between technological innovation and practical implementation. Exploring Chinese medical staff's attitudes and identifying key factors influencing AI adoption are fundamental to developing targeted strategies to facilitate the effective application of AI in clinical settings.

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.
  • Maoshu Yang
    School of Basic Medicine, Peking University, Beijing, China.
  • Shiwu Shi
    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.
  • Weinan E
    Center for Data Science, Peking University, Beijing, 100871, P.R. China.
  • Liyuan Tao
    Center for Data Science in Clinical Medicine, Peking University Third Hospital, Beijing, China.
  • Yi-Da Tang
    Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, Beijing, China.

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