Large language model chatbot-based text-to-SQL application for database analyses in liver diseases and hepatology research.

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Bibliographic Details
Title: Large language model chatbot-based text-to-SQL application for database analyses in liver diseases and hepatology research.
Authors: Far AT; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States., Sun S; UCSF Health Information Technology at the University of California, San Francisco, San Francisco, CA, United States., Jutras G; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States., Wang MB; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States., Burns S; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States., Owens J; UCSF Health Information Technology at the University of California, San Francisco, San Francisco, CA, United States., Galvez V; UCSF Health Information Technology at the University of California, San Francisco, San Francisco, CA, United States., Somsouk M; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States., Lai JC; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States., Lai K; UCSF Health Information Technology at the University of California, San Francisco, San Francisco, CA, United States., Ge J; Division of Gastroenterology and Hepatology, Department of Medicine at the University of California, San Francisco, San Francisco, CA, United States.; Bakar Computational Health Sciences Institute at the University of California, San Francisco, San Francisco, CA, United States.
Source: JAMIA open [JAMIA Open] 2026 Jun 19; Vol. 9 (3), pp. ooag106. Date of Electronic Publication: 2026 Jun 19 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2574-2531
DOI:10.1093/jamiaopen/ooag106