Integrating large language models into clinical pharmacy education: applications in perioperative medication management for gastric cancer
Both ChatGPT-4o and DeepSeek-R1 have demonstrated potential in addressing issues related to perioperative medication management for gastric cancer, with their generated responses showing good practical Applicability and readability suitable for the clinical pharmacy professional community. However, it should be noted that the quality of information provided by both models does not currently meet professional standards for drug therapy management. Therefore, they can be utilized as auxiliary tools for training the analytical skills of undergraduate students in clinical pharmacy, but their use should be guided by mentors.
Authors
- Shuwei Luan
- Nan Shang (ORCID: https://orcid.org/0000-0003-0314-2859)
- Yan Wang (ORCID: https://orcid.org/0000-0002-3750-0311)
- Qingqing Li (ORCID: https://orcid.org/0000-0002-1217-365X)
- Xin Zhang (ORCID: https://orcid.org/0000-0003-0047-3134)
Institutions
- Shanxi Medical University (CN)
- First Hospital of Shanxi Medical University (CN)
- Shanxi Academy of Medical Sciences (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-18
- DOI
- https://doi.org/10.3389/fmed.2025.1710500
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanxi Provincial Education Department