Evaluating large language model performance in Risk of Bias assessments: A cross-sectional validation study.

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Bibliographic Details
Title: Evaluating large language model performance in Risk of Bias assessments: A cross-sectional validation study.
Authors: Gandhi S; Faculty of Medicine, Queen's University, Kingston, Ontario, Canada., Shokravi A; Department of Medicine, University of Calgary, Calgary, Alberta, Canada., Chelliahpillai Y; Department of Medicine, University of Toronto, Toronto, Ontario, Canada., Balas M; Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
Source: PloS one [PLoS One] 2026 Jul 09; Vol. 21 (7), pp. e0353155. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026).
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0353155