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

Peter Sarvari   1 , MEng, MS, MBA ;   Zaid Al-fagih   1 , BSc, MBBS, MPP

1 Rhazes AI, London, United Kingdom

Corresponding Author:

  • Peter Sarvari, MEng, MS, MBA
  • Rhazes AI
  • First Floor, 85 Great Portland Street
  • London W1W 7LT
  • United Kingdom
  • Email: sarvarip@gmail.com