Retrieval-augmented generation salvages poor performance from large language models in answering microbiology-specific multiple-choice questions
J Clin Microbiol
.
2025 Mar 12;63(3):e0162424.
doi: 10.1128/jcm.01624-24.
Epub 2025 Feb 11.
Authors
Grace Perkins
1
,
Neil W Anderson
2
,
Nicholas C Spies
3
4
Affiliations
1
Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA.
2
Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
3
Department of Pathology, University of Utah, Salt Lake City, Utah, USA.
4
Division of Research and Innovation, ARUP Laboratories, Salt Lake City, Utah, USA.
PMID:
39932275
PMCID:
PMC11898693
DOI:
10.1128/jcm.01624-24
No abstract available
Keywords:
artificial intelligence; large language models; medical education.
Publication types
Letter