Authors’ Response to Peer Reviews of “Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method”
This is the author(s)' response to peer review reports related to "Rapidly benchmarking Large Language Models for diagnosing comorbid patients: A comparative study leveraging the LLM-as-a-judge method"
Authors
- Zaid Al-Fagih (ORCID: https://orcid.org/0000-0001-7624-8334)
- Peter Sarvari (ORCID: https://orcid.org/0009-0008-4575-4849)
Publication Details
- Journal
- JMIRx Med
- Published
- 2025-08-29
- DOI
- https://doi.org/10.2196/81235
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00