AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors
Medical students reported moderate to high AI knowledge, moderate AI favorability, and low AI use. Individual characteristics and environmental factors were significantly associated with AI literacy, and environmental factors moderated the associations. The moderate AI literacy overall highlights the need for AI-related medical education, ideally with practical use and nuanced by socioeconomic factors.
Authors
- Sian Hsiang‐Te Tsuei (ORCID: https://orcid.org/0000-0002-9540-9399)
- Hongbin Wu (ORCID: https://orcid.org/0000-0002-4425-9845)
- Chun‐Qing Li (ORCID: https://orcid.org/0000-0001-5567-633X)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- University of British Columbia (CA)
- Peking University (CN)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-12-05
- DOI
- https://doi.org/10.2196/80604
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65