Enhancing dental clinical education through AI: insights into post-clinical summaries
Participants generally perceived AI as a helpful adjunct for reinforcing clinical knowledge, supporting diagnostic reasoning, and facilitating communication. Perceived benefits for professionalism, ethics, and responsibility were less clear. Because this study used self-reported perceptions from a single setting, without qualitative data or inferential statistics, the findings should be interpreted as exploratory. Future work should include qualitative interviews, objective performance measures, and longitudinal follow-up to determine whether AI-supported post-clinical summaries translate into measurable educational outcomes.
Authors
- Pei Hu (ORCID: https://orcid.org/0000-0002-0963-3862)
- Jinle Li (ORCID: https://orcid.org/0000-0001-5305-6639)
- Dalin He (ORCID: https://orcid.org/0000-0002-8099-146X)
- Bo Huang
- Tianxu Zhang
- Li Jiang
- Feng Luo
Institutions
- Sichuan University (CN)
- State Key Laboratory of Oral Diseases
Publication Details
- Journal
- BMC Medical Education
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1186/s12909-026-08774-y
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00