ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

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Title: ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.
Authors: Lee S; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, The Republic of Korea; Yonsei Institute for Digital Health, Yonsei University, Seoul, The Republic of Korea., Jeon K; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, The Republic of Korea; Yonsei Institute for Digital Health, Yonsei University, Seoul, The Republic of Korea., Lim JS; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, The Republic of Korea., Park Y; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, The Republic of Korea; Yonsei Institute for Digital Health, Yonsei University, Seoul, The Republic of Korea., Kim MS; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, The Republic of Korea; Yonsei Institute for Digital Health, Yonsei University, Seoul, The Republic of Korea., Jin JH; Department of Medicine, Yonsei University College of Medicine, Seoul, The Republic of Korea., Han CH; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, The Republic of Korea; Yonsei Institute for Digital Health, Yonsei University, Seoul, The Republic of Korea., Yoon SH; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea; Department of Radiology, National Jewish Health, Denver, CO, USA., You SC; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, The Republic of Korea; Yonsei Institute for Digital Health, Yonsei University, Seoul, The Republic of Korea. Electronic address: chandryou@yuhs.ac.
Source: Journal of biomedical informatics [J Biomed Inform] 2026 Jun 25, pp. 105071. Date of Electronic Publication: 2026 Jun 25.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-0480
DOI:10.1016/j.jbi.2026.105071