Artificial intelligence for the science of evidence synthesis: how good are AI-powered tools for automatic literature screening?
The AI tools assessed in this study demonstrated commendable performance in literature screening; however, they are not yet suitable as standalone solutions. These tools can serve as effective auxiliary aids, and a hybrid approach that integrates human expertise with AI may enhance both the efficiency and accuracy of the literature screening process.
Authors
- Manqi Ruan (ORCID: https://orcid.org/0000-0003-0033-2788)
- Xiaohai Zhang (ORCID: https://orcid.org/0000-0002-7188-7855)
- Chengjing Zhang
- Zhefeng Meng (ORCID: https://orcid.org/0000-0001-9396-0673)
- Junhao Fan
- Mingkai Liu (ORCID: https://orcid.org/0000-0001-9444-8794)
Institutions
- Second Military Medical University (CN)
- Shanghai Jiao Tong University (CN)
- Eastern Hepatobiliary Surgery Hospital (CN)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1186/s12874-025-02644-9
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31