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

Artificial Intelligence (1371) Generative Language Models Including ChatGPT (311) Machine Learning (49) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (36) AI Language Models in Health Care (58) Clinical Information and Decision Making (1407) Chronic Conditions (270) Aging with Chronic Disease (110)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58158, first published .
Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA

Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA

Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA

Authors of this article:

Xi Chen1, 2 Author Orcid Image ;   Li Wang1, 2 Author Orcid Image ;   MingKe You1, 2 Author Orcid Image ;   WeiZhi Liu1, 2 Author Orcid Image ;   Yu Fu3 Author Orcid Image ;   Jie Xu4 Author Orcid Image ;   Shaoting Zhang4 Author Orcid Image ;   Gang Chen1, 2 Author Orcid Image ;   Kang Li4, 5, 6 Author Orcid Image ;   Jian Li1, 2 Author Orcid Image
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Journals

  1. Woo J, Yang A, Olsen R, Hasan S, Nawabi D, Nwachukwu B, Williams R, Ramkumar P. Custom Large Language Models Improve Accuracy: Comparing Retrieval Augmented Generation and Artificial Intelligence Agents to Non-Custom Models for Evidence-Based Medicine. Arthroscopy: The Journal of Arthroscopic & Related Surgery 2024 View