Detecting false exclusions in single-reviewer literature screening by using AI tools as secondary reviewers: a study protocol for an evaluation study.
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| Title: | Detecting false exclusions in single-reviewer literature screening by using AI tools as secondary reviewers: a study protocol for an evaluation study. |
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| Authors: | Affengruber L; Department for Evidence-based Medicine and Evaluation, Cochrane Austria, University of Continuing Education Krems, Dr. Karl Dorrek Strasse 30, 3500, Krems, Austria. lisa.affengruber@donau-uni.ac.at.; Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Peter Debyeplein 1, Maastricht, HA, 6229, The Netherlands. lisa.affengruber@donau-uni.ac.at., Kleijnen J; Kleijnen Systematic Reviews Ltd, 6 Escrick Business Park, Escrick, York, YO19 6FD, UK., Gartlehner G; Department for Evidence-based Medicine and Evaluation, Cochrane Austria, University of Continuing Education Krems, Dr. Karl Dorrek Strasse 30, 3500, Krems, Austria.; RTI International, PO Box 12194, 3040 Cornwallis Road, Research Triangle Park, NC, 27709-2194, USA. |
| Source: | Systematic reviews [Syst Rev] 2026 Jan 03; Vol. 15 (1), pp. 38. Date of Electronic Publication: 2026 Jan 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053 (Electronic) Linking ISSN: 20464053 NLM ISO Abbreviation: Syst Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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