Searching smarter, not harder: leveraging AI to enhance literature searches for theory-driven reviews—A methodological case study
Our findings suggest that AI-powered tools can support literature searching, particularly in identifying conceptually relevant studies. However, these tools do not replace the critical interpretive work required by researchers. Human judgement remains essential to assess relevance, evaluate nuanced concepts, and make informed decisions throughout the search process, with AI serving as a valuable adjunct rather than a substitute.
Authors
- Rebecca Hunter (ORCID: https://orcid.org/0000-0001-7837-7260)
- Lianne Wood (ORCID: https://orcid.org/0000-0003-1039-1642)
- A. Booth
Institutions
- University of Exeter (GB)
- Northumbria University (GB)
- University of Sheffield (GB)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1186/s12874-026-02814-3
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00