This paper is in the following e-collection/theme issue:

#Live Reviewed Article Collection (7) Applications of AI (246) AI Language Models in Health Care (164) Computer-Aided Diagnosis (224) Generative Language Models Including ChatGPT (629)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67661, first published .
Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method

Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method

Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method

Authors of this article:

Peter Sarvari1 Author Orcid Image ;   Zaid Al-fagih1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Sarvari P, Al-fagih Z. Authors’ Response to Peer Reviews of “Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method”. JMIRx Med 2025;6:e81235 View