Artificial Intelligence (AI) Readiness to Support Evidence Synthesis by Workflow: Findings From a Review of Reviews
Zijing Wei, Luyanda Ngongoma, Jose Cols, Arina L. Bogdan, Ariel Lin, Claire Zhang, Yue Su, Nuno de Jesus Ximenes, Chloe Zhu, Yoav Ackerman, Heather L. Bullock, Juhua Hu, Yanfang Su · 2026
Read Artificial Intelligence (AI) Readiness to Support Evidence Synthesis by Workflow: Findings From a Review of Reviews by Zijing Wei, Luyanda Ngongoma, Jose Cols, Arina L. Bogdan, Ariel Lin, Claire Zhang, Yue Su, Nuno de Jesus Ximenes, Chloe Zhu, Yoav Ackerman, Heather L. Bullock, Juhua Hu, Yanfang Su (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13251836.txt.
Description
Zijing Wei and a large team review the reviews on artificial intelligence for evidence synthesis in a 2026 paper. Summarizing all research on a question is slow, manual work, and findings can age before they appear. Software vendors promise that AI tools will speed each stage, from searching to writing, but proof of readiness has been scattered.
Searching three databases for reviews published between 2020 and May 2025, the team found twenty-one studies covering forty-six tools. Ten tools reported results for screening titles and abstracts, and all reached at least ninety-five percent sensitivity in some setup, meaning they missed very few relevant papers. Two products, DistillerSR and EPPI-Reviewer, supported the broadest range of tasks. For stages beyond screening, such as data extraction and synthesis, solid evidence was scarce. The authors conclude that supervised AI screening is ready for use, while the rest needs more proof.
Catalog record
| CREATOR | Zijing Wei, Luyanda Ngongoma, Jose Cols, Arina L. Bogdan, Ariel Lin, Claire Zhang, Yue Su, Nuno de Jesus Ximenes, Chloe Zhu, Yoav Ackerman, Heather L. Bullock, Juhua Hu, Yanfang Su |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |