From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis.

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Bibliographic Details
Title: From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis.
Authors: Gartlehner G; RTI International, Research Triangle Park, North Carolina, USA gerald.gartlehner@donau-uni.ac.at.; Department for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, Krems, Austria., Kahwati L; RTI International, Research Triangle Park, North Carolina, USA., Nussbaumer-Streit B; Department for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, Krems, Austria., Crotty K; RTI International, Research Triangle Park, North Carolina, USA., Hilscher R; RTI International, Research Triangle Park, North Carolina, USA., Kugley S; RTI International, Research Triangle Park, North Carolina, USA., Viswanathan M; RTI International, Research Triangle Park, North Carolina, USA., Thomas I; RTI International, Research Triangle Park, North Carolina, USA., Konet A; RTI International, Research Triangle Park, North Carolina, USA., Booth G; RTI International, Research Triangle Park, North Carolina, USA., Chew R; RTI International, Research Triangle Park, North Carolina, USA.
Source: BMJ evidence-based medicine [BMJ Evid Based Med] 2025 Dec 01; Vol. 30 (6), pp. 385-389. Date of Electronic Publication: 2025 Dec 01.
Publication Type: Journal Article
Journal Info: Publisher: BMJ Publishing Group Country of Publication: England NLM ID: 101719009 Publication Model: Electronic Cited Medium: Internet ISSN: 2515-4478 (Electronic) Linking ISSN: 2515446X NLM ISO Abbreviation: BMJ Evid Based Med Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2515-4478
DOI:10.1136/bmjebm-2024-113199