Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method
While the results are promising, more diverse datasets and hospital pilots, as well as close collaborations with physicians, are needed to obtain a better understanding of the diagnostic abilities of these models.
Authors
- Zaid Al-Fagih (ORCID: https://orcid.org/0000-0001-7624-8334)
- Peter Sarvari (ORCID: https://orcid.org/0009-0008-4575-4849)
Institutions
- Health First (US)
Publication Details
- Journal
- JMIRx Med
- Published
- 2025-08-29
- DOI
- https://doi.org/10.2196/67661
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96