Using Pretrained Large Language Models for AI-Driven Assessment in Medical Education
While this approach shows promise, faculty oversight is necessary to ensure ethical accountability and address potential biases. Further research is needed to optimize the integration of AI and human capabilities in assessment to ultimately enhance the quality of health care professional education and improve patient outcomes.
Authors
- Jacob Cole (ORCID: https://orcid.org/0000-0002-8444-8384)
- Rebekah Cole (ORCID: https://orcid.org/0000-0003-2628-8658)
- Joshua Duncan (ORCID: https://orcid.org/0000-0002-0333-4781)
Institutions
- Uniformed Services University of the Health Sciences (US)
Publication Details
- Journal
- Academic Medicine
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1097/acm.0000000000006207
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65