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

Formative Evaluation of Digital Health Interventions (3482) Clinical Information and Decision Making (2086) New Methods (1185) Decision Support for Health Professionals (1651) Diabetes Self-Management (627) Artificial Intelligence (2377) Artificial Intelligence in Diabetes Care and Prevention (65)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71541, first published .
Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study

Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study

Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study

Authors of this article:

Shengyang He1 Author Orcid Image ;   Yu Zhang2 Author Orcid Image ;   Jiaxi Li1 Author Orcid Image
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  1. He S, Zhang Y, Li J. Correction: Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study. JMIR Formative Research 2026;10:e93482 View