Large Language Model-Supported Interactive Case-Based Learning: A Pilot Study (P12-5.027)
The aim of this pilot study was to evaluate the performance of a large language model (LLM) in responding to medical student case-based questions (e.g., emulating a patient).
Authors
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Brandon Stretton (ORCID: https://orcid.org/0000-0002-7939-3489)
- Christina Guo (ORCID: https://orcid.org/0000-0002-1645-3202)
- Matthew Arnold (ORCID: https://orcid.org/0009-0005-9510-0948)
- Galina Gheihman (ORCID: https://orcid.org/0000-0003-1599-3271)
- Benjamin K. Cook (ORCID: https://orcid.org/0009-0000-1993-213X)
- Jasmin Le
- Haelynn Gim
Institutions
- Harvard University (US)
- Johns Hopkins University (US)
- The University of Adelaide (AU)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211732
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00