Comparison of Frontier Open-Source and Proprietary Large Language Models for Complex Diagnoses
This comparative effectiveness research assesses the performance of newer open-source large language models (LLMs) with that of closed-source proprietary large LLMs.
Authors
- Arjun K. Manrai (ORCID: https://orcid.org/0000-0001-9657-9800)
- Adam Rodman (ORCID: https://orcid.org/0000-0001-8452-0692)
- Thomas A. Buckley (ORCID: https://orcid.org/0000-0002-0515-0150)
- Raja-Elie Edward Abdulnour (ORCID: https://orcid.org/0000-0002-8053-0145)
- Byron Crowe (ORCID: https://orcid.org/0000-0001-9217-1533)
Institutions
- Brigham and Women's Hospital (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
Publication Details
- Journal
- JAMA Health Forum
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1001/jamahealthforum.2025.0040
- Citations
- 11
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 27.29