Responsible Integration of Artificial Intelligence in Rapid Reviews: A Position Statement From the Cochrane Rapid Reviews Methods Group.

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Title: Responsible Integration of Artificial Intelligence in Rapid Reviews: A Position Statement From the Cochrane Rapid Reviews Methods Group.
Authors: Gartlehner G; Cochrane Austria University for Continuing Education Krems Krems Austria.; Center for Advanced Public Health Methods RTI International Research Trianle Park NC USA., Nussbaumer-Streit B; Cochrane Austria University for Continuing Education Krems Krems Austria., Hamel C; Ottawa Hospital Research Institute Ottawa ON Canada.; School of Epidemiology and Public Health, Faculty of Medicine University of Ottawa Ottawa ON Canada., Garritty C; School of Epidemiology and Public Health, Faculty of Medicine University of Ottawa Ottawa ON Canada., Griebler U; Cochrane Austria University for Continuing Education Krems Krems Austria., King VJ; Center for Evidence-based Policy, School of Medicine Oregon Health and Science University (OHSU) Portland OR USA., Devane D; Evidence Synthesis Ireland & Cochrane Ireland University of Galway Galway Ireland.; School of Nursing and Midwifery University of Galway Galway Ireland., Kamel C; Canada's Drug Agency Ottawa ON Canada.
Source: Cochrane evidence synthesis and methods [Cochrane Evid Synth Methods] 2025 Nov 24; Vol. 3 (6), pp. e70063. Date of Electronic Publication: 2025 Nov 24 (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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Description
ISSN:2832-9023
DOI:10.1002/cesm.70063