Which curriculum components do medical students find most helpful for evaluating AI outputs?
Pathology and interactive case-based teaching using questions were the self-reported best training for medical students to safely interact with the outputs of LLMs. This study can inform the design of medical training for future doctors graduating into AI-enhanced health services.
Authors
- Amir H. Sam (ORCID: https://orcid.org/0000-0002-9599-9069)
- George Lam (ORCID: https://orcid.org/0000-0001-6011-0154)
- Risheka Walls
- William J. Waldock (ORCID: https://orcid.org/0000-0003-3283-4096)
- Ana Baptista (ORCID: https://orcid.org/0000-0002-9157-6464)
Institutions
- Charing Cross Hospital (GB)
- Imperial College London (GB)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1186/s12909-025-06735-5
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93
Funders
- Imperial College London