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Using a Large Language Model (ChatGPT-4o) to Assess the Risk of Bias in Randomized Controlled Trials of Medical Interventions: Interrater Agreement With Human Reviewers.

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Title: Using a Large Language Model (ChatGPT-4o) to Assess the Risk of Bias in Randomized Controlled Trials of Medical Interventions: Interrater Agreement With Human Reviewers.
Authors: Rose CJ; Center for Epidemic Interventions Research Norwegian Institute of Public Health Oslo Norway.; Division of Health Services Norwegian Institute of Public Health Oslo Norway., Bidonde J; Division of Health Services Norwegian Institute of Public Health Oslo Norway.; School of Rehabilitation Science University of Saskatchewan Saskatoon Saskatchewan Canada., Ringsten M; Cochrane Sweden Skåne University Hospital, Lund University Lund Sweden., Glanville J; Glanville.info York UK., Potrebny T; Section Evidence-Based Practice Western Norway University of Applied Sciences Bergen Norway., Cooper C; Bristol Medical School University of Bristol Bristol UK., Muller AE; Division of Health Services Norwegian Institute of Public Health Oslo Norway., Bergsund HB; Division of Health Services Norwegian Institute of Public Health Oslo Norway., Meneses-Echavez JF; Division of Health Services Norwegian Institute of Public Health Oslo Norway.; Facultad de Cultura Física, Deporte y Recreación Universidad Santo Tomás Bogotá Colombia., Berg RC; Division of Health Services Norwegian Institute of Public Health Oslo Norway.; UiT The Arctic University of Tromsø Tromsø Norway.
Source: Cochrane evidence synthesis and methods [Cochrane Evid Synth Methods] 2025 Sep 10; Vol. 3 (5), pp. e70048. Date of Electronic Publication: 2025 Sep 10 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: John Wiley & Sons Ltd on behalf of the Cochrane Collaboration Country of Publication: England NLM ID: 9918935130106676 Publication Model: eCollection Cited Medium: Internet ISSN: 2832-9023 (Electronic) Linking ISSN: 28329023 NLM ISO Abbreviation: Cochrane Evid Synth Methods Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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