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CeRTS: certainty retrieval token search in large language model clinical information extraction.

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Bibliographic Details
Title: CeRTS: certainty retrieval token search in large language model clinical information extraction.
Authors: Schimmelpfennig LE; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO, United States., Bhattarai K; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO, United States; Department of Computer Science, Washington University in St. Louis, United States., Oh IY; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO, United States., Lever J; Information Retrieval Group, School of Computing Science, University of Glasgow, UK; AI4BioMed Lab, School of Computing Science, University of Glasgow, UK., Griffith OL; Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, United States., Griffith M; Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, United States., Lai AM; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO, United States; Department of Computer Science, Washington University in St. Louis, United States., Abrams ZB; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO, United States. Electronic address: abramsz@wustl.edu.
Source: Journal of biomedical informatics [J Biomed Inform] 2025 Oct; Vol. 170, pp. 104900. Date of Electronic Publication: 2025 Aug 23.
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.2025.104900