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Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records.

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Title: Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records.
Authors: Wulcan, Judit M.1 (AUTHOR), Jacques, Kevin L.1 (AUTHOR), Lee, Mary Ann2 (AUTHOR), Kovacs, Samantha L.1 (AUTHOR), Dausend, Nicole3 (AUTHOR), Prince, Lauren E.1 (AUTHOR), Wulcan, Jonatan4 (AUTHOR), Marsilio, Sina3 (AUTHOR), Keller, Stefan M.1 (AUTHOR) smkeller@ucdavis.edu
Source: Frontiers in Veterinary Science. 2025, p1-9. 9p.
Document Type: Article
Author Affiliations: 1Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
2College of Veterinary Medicine and Biomedical Sciences, James L. Voss Veterinary Teaching Hospital, Colorado State University, Fort Collins, CO, United States
3Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
4Independent Researcher, Malmö, Sweden
Full Text Word Count: 5802
ISSN: 2297-1769
DOI: 10.3389/fvets.2024.1490030
Accession Number: 182568510
Database: Veterinary Source
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ISSN:22971769
DOI:10.3389/fvets.2024.1490030