RevProHub is proudly announce two new features that significantly shorten the systematic review workflow and complete its coverage of the 30 core criteria identified by Cowie et al. (2022).
Automated full-text retrieval: Using Unpaywall and CrossRef, RevProHub now automatically fetches open-access full-text for a study — PDF or HTML — and stores the retrieved article as both the original source document and an extracted text file ready for full-text screening and data extraction. Where OA retrieval is not available, the existing manual upload/paste workflow remains intact.
Bulk AI screening: The AI assistant that previously screened one study at a time now screens multiple studies in a single click, at either the title/abstract or full-text stage. AI decisions are recorded with the same audit trail as human decisions — decision, reasoning, confidence, and criteria — so screening remains transparent and fully traceable.
Why it matters?
Automated retrieval removes a well-known bottleneck; bulk AI screening collapses days of work into minutes. Together, they make RevProHub the only systematic review platform that meets all 30 of Cowie et al.'s (2022) core criteria in a single integrated tool — covering the entire pipeline from import through synthesis.