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

Clinical Information and Decision Making (2000) Generative Language Models Including ChatGPT (757) AI Language Models in Health Care (222) Cancer Prognosis Models and Machine Learning (72)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78393, first published .
Performance of Retrieval-Augmented Generation Large Language Models in Guideline-Concordant Prostate-Specific Antigen Testing: Comparative Study With Junior Clinicians

Performance of Retrieval-Augmented Generation Large Language Models in Guideline-Concordant Prostate-Specific Antigen Testing: Comparative Study With Junior Clinicians

Performance of Retrieval-Augmented Generation Large Language Models in Guideline-Concordant Prostate-Specific Antigen Testing: Comparative Study With Junior Clinicians

Authors of this article:

Joshua Yi Min Tung1, 2 Author Orcid Image ;   Quan Le1 Author Orcid Image ;   Jinxuan Yao1 Author Orcid Image ;   Yifei Huang1 Author Orcid Image ;   Daniel Yan Zheng Lim1, 3 Author Orcid Image ;   Gerald Gui Ren Sng1, 4 Author Orcid Image ;   Rachel Shu En Lau2 Author Orcid Image ;   Yu Guang Tan2 Author Orcid Image ;   Kenneth Chen2 Author Orcid Image ;   Kae Jack Tay2 Author Orcid Image ;   Jen Hong Tan1 Author Orcid Image ;   John Shyi Peng Yuen2 Author Orcid Image ;   Christopher Wai Sam Cheng2 Author Orcid Image ;   Henry Sun Sien Ho2 Author Orcid Image
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Journals

  1. Boltaboyeva A, Baigarayeva Z, Imanbek B, Amangeldy B, Tasmurzayev N, Ozhikenov K, Alimbayeva Z, Alimbayev C, Karymsakova N. Architecting the Orthopedical Clinical AI Pipeline: A Review of Integrating Foundation Models and FHIR for Agentic Clinical Assistants and Digital Twins. Algorithms 2026;19(2):99 View