Rayyan

Rayyan is an AI-assisted systematic review platform that accelerates screening, extraction and collaboration for evidence synthesis.

Overview

Rayyan is built for the most tedious part of systematic reviews: screening thousands of titles and abstracts for inclusion. Its machine learning ranks records by relevance so reviewers tackle the likely includes first, and blind dual-screening workflows keep the methodology sound. AI features help with extraction, conflict resolution and detecting duplicates across databases. Millions of researchers — especially in health and social sciences — use it to move reviews from months to weeks.

Key Features

• AI-ranked screening with relevance prioritization
• Blind dual-reviewer workflows with conflict resolution
• Automatic duplicate detection across databases
• Structured data extraction assistance
• Team collaboration with roles and audit trails
• Export to reference managers and review software

Pricing

Rayyan is freemium with a free tier for individual reviews; paid plans add advanced AI features, unlimited reviewers and organization controls.

Who Is It For

Academic teams, guideline developers and health researchers conducting systematic reviews and meta-analyses.

Use Cases

Health research teams screen thousands of citations for systematic reviews, using AI ranking to prioritize likely includes. Evidence synthesis groups collaborate across institutions with blinded screening and conflict resolution.

Getting Started

Create a review, import citations from your reference manager and let the AI rank them before beginning dual screening.

FAQ

Is Rayyan free to use?

Yes — a functional free tier exists; advanced AI and team features are paid.

Does Rayyan offer an API?

Rayyan supports integrations and data exchange; broad API access is enterprise-level.

How does Rayyan compare to alternatives?

Versus Covidence, Rayyan is more affordable with comparable screening rigor; versus manual screening it dramatically reduces time while preserving methodology.

How does the AI ranking learn?

It trains on your include/exclude decisions as you screen, so prioritization improves with every judgment you make.

Can I export my decisions?

Yes, screening decisions, reasons and extractions export for PRISMA flows and downstream meta-analysis software.

How does blind screening work?

Reviewers make inclusion decisions independently without seeing each other’s votes, and conflicts are resolved after — preserving the methodological rigor reviews demand.

What file formats can I import?

Citation exports from PubMed, Zotero, EndNote and other reference managers import directly, along with RIS, BibTeX and CSV formats.

Is Rayyan suitable for scoping reviews?

Yes — faster review types like scoping and rapid reviews benefit from the same screening acceleration even when full dual-screening rigor is not required.

What AI models power the ranking?

Machine learning trained on your own inclusion decisions drives the prioritization, improving continuously as the review progresses.