Accelerating the pace and accuracy of systematic reviews using AI: a validation study
AI use in systematic reviews and meta-analyses is inevitable. Health researchers must understand these technologies' strengths and limitations to ethically leverage them for research efficiency and evidence-based decision-making in health.
Authors
- Kara Suvada (ORCID: https://orcid.org/0000-0003-2785-835X)
- Kelly Copeland Cara (ORCID: https://orcid.org/0000-0003-1491-9539)
- Muwu Xu (ORCID: https://orcid.org/0009-0001-4473-9793)
- Jiada Zhan (ORCID: https://orcid.org/0000-0003-2480-8760)
- Taylor C. Wallace (ORCID: https://orcid.org/0000-0002-9403-2745)
- Wenya Tian
- Mohammed K. Ali (ORCID: https://orcid.org/0000-0003-1513-0070)
Institutions
- American Cancer Society (US)
- Emory University (US)
- George Washington University (US)
- Woodruff Health Sciences Center (US)
- WuXi AppTec (United States) (US)
- National Business Group on Health (US)
- University at Buffalo, State University of New York (US)
Publication Details
- Journal
- Systematic Reviews
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1186/s13643-025-02997-8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00