Integrating large language models into medical undergraduate laboratory course to enhance bioethical competence: a quasi-experimental study
This study suggested that recent LLMs, particularly KIMI and DeepSeek, may support integrating bioethics into undergraduate medical laboratory courses in a university in China. By assisting students in accessing information, reflecting on ethical issues, and navigating practical challenges, these tools can facilitate learning and foster ethical awareness, competent future physicians. These findings, as an initial exploration and context-specific, indicate that LLMs may support bioethics learning in undergraduate medical laboratory courses and help foster ethically aware, competent future physicians.
Authors
- Yue Wang (ORCID: https://orcid.org/0000-0002-2693-7999)
Institutions
- Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-05
- DOI
- https://doi.org/10.3389/fmed.2025.1745975
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Fujian Province
- Fujian Medical University
- Division of Graduate Education