Artificial intelligence assistance (ASReview Lab) reduces screening workload but its practical impact remains uncertain: a post hoc analysis of a regional anesthesia systematic review
ASReview Lab (Utrecht University, Netherlands) offers a promising, Cochrane-approved AI-assisted manual screening approach to streamline evidence screening.[1 2][1] Conceptually, it may reliably identify relevant articles earlier in the screening process. Therefore, practically, it could allow
Authors
- Jashvant Poeran (ORCID: https://orcid.org/0000-0001-7058-5102)
- Crispiana Cozowicz (ORCID: https://orcid.org/0000-0002-8058-4135)
- Mary J. Hargett (ORCID: https://orcid.org/0000-0002-0528-4909)
- Periklis Giannakis (ORCID: https://orcid.org/0000-0002-6192-6371)
- Stavros G. Memtsoudis (ORCID: https://orcid.org/0000-0001-9093-0030)
- Ellen M. Soffin (ORCID: https://orcid.org/0000-0002-2496-7174)
- Jacob M. Rowe (ORCID: https://orcid.org/0000-0003-0070-8220)
- Jiabin Liu
Institutions
- Hospital for Special Surgery (US)
- Paracelsus Medical University (AT)
Publication Details
- Journal
- Regional Anesthesia & Pain Medicine
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1136/rapm-2025-107451
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00