Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education
Neurology learners often receive limited feedback in clinical settings because of workflow constraints, variability in supervision, and competing clinical demands. Artificial intelligence, including large language models (LLMs) may help address these gaps and provide clinical learners with effective formative feedback by generating real-time, case-specific feedback during neurology case-based learning (CBL). The aim of this study was to examine how the quality of LLM-generated feedback compares with human expert-generated feedback in neurology CBL.
Authors
- Brandon Stretton (ORCID: https://orcid.org/0000-0002-7939-3489)
- Ashley Paul (ORCID: https://orcid.org/0000-0001-9124-4024)
- Benjamin Cook
- Christina Gao (ORCID: https://orcid.org/0000-0002-8599-3966)
- Jasmin Le
- Rani Priyanka Vasireddy (ORCID: https://orcid.org/0009-0004-3875-6492)
- Edward Kong (ORCID: https://orcid.org/0000-0001-9277-5302)
- Hannah Fruitman
- Liam G. McCoy (ORCID: https://orcid.org/0000-0002-4468-2256)
- Luke Collins (ORCID: https://orcid.org/0000-0002-3821-2186)
- Sang-O Park (ORCID: https://orcid.org/0009-0006-1477-210X)
- John Maddison (ORCID: https://orcid.org/0000-0001-8692-8878)
- Atikul Miah
- Tamara B. Kaplan
- Aye Thant (ORCID: https://orcid.org/0009-0000-7217-0082)
- Adam Karp
- Rudy Goh
- Doris Kung (ORCID: https://orcid.org/0000-0001-8458-7838)
- Sasha Severin
- Haatem Reda
- Carolyn Qian
- Haelynn Gim
- Matthew Arnold (ORCID: https://orcid.org/0009-0005-9510-0948)
- Andrew Vanlint
- Kelly Hou (ORCID: https://orcid.org/0009-0008-2765-6954)
- Galina Gheihman (ORCID: https://orcid.org/0000-0003-1599-3271)
Institutions
- Westchester Medical Center (US)
- Harvard University (US)
- Johns Hopkins University (US)
- University of Alberta (CA)
- New York Medical College (US)
- Baylor College of Medicine (US)
- Washington University in St. Louis (US)
- The University of Texas at Tyler (US)
- Johns Hopkins Medicine (US)
- Lyell McEwin Hospital (AU)
- Harvard–MIT Division of Health Sciences and Technology (US)
- Mass General Brigham (US)
- The University of Adelaide (AU)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Neurology Education
- Published
- 2026-05-27
- DOI
- https://doi.org/10.1212/ne9.0000000000200320
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 0.00