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

Artificial Intelligence (2297) Generative Language Models Including ChatGPT (775) Clinical Information and Decision Making (2037) Clinical Informatics (1410) Applications of AI (323) Foundation Models and Their Applications in AI (54)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76048, first published .
Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Authors of this article:

Thomas Savage1 Author Orcid Image ;   Stephen P Ma2 Author Orcid Image ;   Abdessalem Boukil3 ;   Ekanath Rangan4 Author Orcid Image ;   Vishwesh Patel5 Author Orcid Image ;   Ivan Lopez4, 6 Author Orcid Image ;   Jonathan Chen2, 6, 7, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Naderi B, Liu L, Ghandehari A, Khoshons D, Andrew Taylor R, Bhavsar N, Balasubramanian S, Tanouye R, Creech N, Davidson C, Norden J, Sharma R, Fortenko A. The role of large language models in emergency care: a comprehensive benchmarking study. npj Artificial Intelligence 2026;2(1) View