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Artificial Intelligence (4532) Clinical Informatics (2134) Clinical Information and Decision Making (3530) Generative Language Models Including ChatGPT (1416) Applications of AI (854) Foundation Models and Their Applications in AI (102)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76048, first published .
Three doctors in white coats smiling and looking at a tablet.

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 (9) Tweetations (3) 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
  2. Xiao H, Hui N, Xu Y, Li Z, Peng J. Medical multimodal large language models: A survey. Information Fusion 2026;134:104386 View
  3. Feng H, Wang X. Comparative performance of four large language models in generating evidence-based exercise prescriptions using FITT-VP framework. Frontiers in Physiology 2026;17 View
  4. Ong W, Tan G, Ting Y, Ge S, Tan Y, Low X, Tan W, Makmur A, Leow N, Din Abdul Jabbar M, Yap Q, Ong S, Tan J, Kumar N, Hallinan J. Automating the Management of Extraspinal Findings in MRI Spine Studies Using a Privacy-Preserving Large Language Model: A Single-Institution Feasibility Study (Preprint). Journal of Medical Internet Research 2025 View
  5. Ahmed S, Yousuf Sadeque F. Clinical Note Generation From Doctor-Patient Conversations Using Parameter-Efficient Fine-Tuning Large Language Models: Comparative Study. JMIR Medical Informatics 2026;14:e82545 View
  6. Yang H, Niu Z, Li M, Zhou H, Xiao Y, Zhou S, Zhan Z, Liu Y, Liu S, Tignanelli C, Melton G, Zhang R. Benchmarking information extraction of physical activity from electronic health record with large language models: an natural language processing pipeline and comparative evaluation. Journal of the American Medical Informatics Association 2026 View
  7. Sha Y, Yu L, Lin Z, Kaur A, Lou Y, Gornale S, Zhang T, Wong L, Wang Z, Yan Y, Zhang X, Hong R, Li K, Im S, de Carvalho P, Tan T, Li K. A roadmap for medical large language models: a review of foundations, applications, and challenges. Military Medical Research 2026;13(1):100050 View

Conference Proceedings

  1. Santos A, Torres I, Oliveira M, Almeida M, Diniz L, Dias C, Reis Z, Oliveira E. Anais do XXVI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2026). Metodologia para Diagnóstico de Sepse Pediátrica via LLM, RAG e Fine-Tuning sob Escassez de Dados Reais View
  2. Rahman H, Numata K, Lai E, Cheriyan M, Haimovich A, Ouchi K, Desai S. Proceedings of the 2026 ACM Interactive Health Conference. Exploring the Feasibility and Acceptability of AI-Mediated Serious Illness Conversations in the Emergency Department View