Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study
Substantial disparities exist between high willingness to adopt medical AI and its low actual use among Chinese medical staff. System optimization focusing on utility enhancement, workflow integration, and risk mitigation for medical staff, along with support for infrastructure and training, could accelerate AI adoption in clinical practice.
Authors
- Zhaoji Li
- Yi‐Da Tang (ORCID: https://orcid.org/0000-0002-9712-803X)
- Jiaojiao Liao (ORCID: https://orcid.org/0009-0000-5624-7940)
- Qianqian Dai (ORCID: https://orcid.org/0000-0003-3826-395X)
- E Weinan
- Liyuan Tao (ORCID: https://orcid.org/0000-0003-3497-1326)
- Ming Li (ORCID: https://orcid.org/0009-0009-0837-8562)
- Zhaoyu Wang (ORCID: https://orcid.org/0009-0007-6988-0287)
- Mengyu Yang (ORCID: https://orcid.org/0009-0002-7837-1015)
- Shiwu Shi
Institutions
- Peking University (CN)
- Peking University Third Hospital (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-08-08
- DOI
- https://doi.org/10.2196/75343
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.23