We are excited to announce two major updates to RevProHub, our systematic review platform:

  • Automated open-access full-text retrieval — retrieve PDF or HTML full text directly from Unpaywall and CrossRef.
  • Bulk AI screening decisions — screen multiple studies at once against your project's criteria, framework, and research questions.

📄Automated open-access full-text retrieval

Building on our existing manual full-text upload, RevProHub now automatically retrieves open-access full-text documents using Unpaywall and CrossRef — accepting both PDF and HTML formats. When an OA source is available, the platform downloads the article, extracts its content, stores it as a searchable text file for downstream screening and data extraction, and retains the retrieved source document for provenance and audit. When OA retrieval is not available, the previously existing manual workflow (upload, paste, or extract) remains fully functional — so reviewers never lose control of the retrieval step.

For BMC, Springer, JMIR, PMC, PLOS, and other OA repositories, RevProHub resolves the correct source, extracts the article body from both publisher PDFs and HTML full-text pages, and attaches the result directly to the study record — no intermediary tooling, no manual copy-paste, no lost citations.

🤖Bulk AI screening decisions

What began as AI-assisted screening for single studies is now extended to bulk screening of multiple studies in a single click. Reviewers can select any number of studies from the library, choose the screening stage (title/abstract or full-text), and receive AI-generated inclusion/exclusion/maybe decisions against their project's screening criteria, eligibility framework, and research questions — within minutes. Every AI decision is recorded with the same provenance and audit metadata as manual decisions, including the reasoning narrative, confidence score, and the exact criteria cited, so the audit trail is never compromised.

Why this matters for systematic reviewers

Screening is one of the most time-consuming stages of a systematic review. Automated full-text retrieval removes the bottleneck of manually downloading dozens or hundreds of source articles, while bulk AI screening compresses a workflow that previously took days into a single session. Combined, these features make RevProHub the only systematic review platform that supports the full pipeline — from import and deduplication through title/abstract screening, full-text retrieval, full-text screening, data extraction, and synthesis — without forcing reviewers into a mix of independent tools.

Full coverage of Cowie et al. (2022) core criteria

With the addition of automated full-text retrieval, RevProHub has achieved 30 of the 30 standard core criteria defined by Cowie et al. (2022) for systematic review software platforms — positioning RevProHub as the only platform that meets all 30 criteria in a single, integrated system.

Reference: Cowie, K., et al. (2022). Core criteria for systematic review software platforms — available at pmc.ncbi.nlm.nih.gov/articles/pmid/35499859.

We are proud to offer this capability to reviewers worldwide and welcome feedback as we continue refining both automation and user control.

Ready to shorten your next systematic review from weeks to days?

Create your free RevProHub account →