Guidance for manuscript submissions testing the use of generative AI for systematic review and meta-analysis.

Saved in:
Bibliographic Details
Title: Guidance for manuscript submissions testing the use of generative AI for systematic review and meta-analysis.
Authors: Farotimi O; https://ror.org/020f3ap87University of Tennessee, Knoxville, USA., Dunn A; Sydney School of Public Health, https://ror.org/01sf06y89Faculty of Medicine and Health, The University of Sydney, Australia., Van Lissa CJ; Methodology, Tilburg University, Tilburg School of Social and Behavioral Sciences, Netherlands., Polanin JR; https://ror.org/029m7xn54University of San Francisco, USA., Mavridis D; Department of Primary Education, https://ror.org/01qg3j183University of Ioannina, Greece., Pigott TD; College of Education and Human Development, Georgia State University, USA.
Source: Research synthesis methods [Res Synth Methods] 2026 Mar; Vol. 17 (2), pp. 237-239. Date of Electronic Publication: 2025 Dec 11.
Publication Type: Journal Article
Journal Info: Publisher: Cambridge University Press Country of Publication: England NLM ID: 101543738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-2887 (Electronic) Linking ISSN: 17592879 NLM ISO Abbreviation: Res Synth Methods Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1759-2887
DOI:10.1017/rsm.2025.10058