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

Viewpoints and Perspectives (1330) E-Health Policy and Health Systems Innovation (502) Digital Health, Telehealth and e-Innovation in Clinical Settings (684) Theoretical Frameworks and Concepts (500) Ontologies, Classifications, and Coding (405) Equity and Digital Divide (496)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86769, first published .
Surgeon's hand interacting with futuristic medical displays showing brain, heart, and DNA.

Open-Source Large Language Models and AI Health Equity: A Health Service Triangle Model Perspective

Open-Source Large Language Models and AI Health Equity: A Health Service Triangle Model Perspective

Authors of this article:

Shaolong Wu1, 2, 3 Author Orcid Image ;   Wenxin Zou1 Author Orcid Image ;   Jiong Tu4 Author Orcid Image ;   Chunxiao Wang5 Author Orcid Image ;   Cheng Jin6 Author Orcid Image ;   Jing Liao3, 7 Author Orcid Image ;   Kwok Cho Tang3, 7, 8 Author Orcid Image ;   Ning Liu9, 10 Author Orcid Image ;   Chun Hao3, 7 Author Orcid Image
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Journals

  1. Renner E, Patel O, McOsker S, Le M, Lu Y, Vaickus L, Berg A, Yao K, Levy J. Adapting transformer-based encoder models for automated billing code assignment of current procedural terminology from pathology reports in multi-institutional settings. Journal of Pathology Informatics 2026:100687 View