AI Data Mining
Rayyan
Rayyan is an AI-powered platform for managing systematic and literature reviews with screening, deduplication, and collaboration tools.
Rayyan
What is Rayyan?
Rayyan is a web platform for researchers conducting systematic reviews and literature reviews. It helps teams screen studies, remove duplicates, apply filters, manage review workflows, and collaborate more efficiently.
Rayyan vs Similar AI Tools
| Pricing Model | Free, Freemium | Free, Freemium | Free | Custom Pricing |
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How to use Rayyan?
- 1Create a review and import references from supported sources.
- 2Screen studies using AI assistance, labels, and exclusion reasons.
- 3Use deduplication, filters, and bulk actions to organize the dataset.
- 4Apply PICO, PRISMA, and workbench tools to manage the review process.
- 5Collaborate with team members and track progress until the review is complete.
Rayyan Key Features
- AI-powered screening
- Mobile app support
- Deduplication and duplicate resolution
- Filters and bulk actions
- PICO framework support
- PRISMA flow diagrams
- Customizable workbench
- Keyboard shortcuts
- Team collaboration and access control
- Import from tools like PubMed, Zotero, EndNote, Mendeley, Google Scholar, and EBSCO
Rayyan Use Cases
- Systematic review screening
- Literature review management
- Duplicate reference cleanup
- Collaborative academic research
- Evidence synthesis workflows
- Review tracking and organization
Rayyan Pricing & Free Credits
Rayyan currently operates on a Free, Freemium model.
This tool is completely free to use
Rayyan Pros & Cons
Pros
- Speeds up screening with AI assistance
- Useful deduplication and bulk management tools
- Supports collaboration across teams
- Imports from major research tools
- Mobile app enables work anywhere
Cons
- Pricing details are not clearly listed on the provided page
- Feature depth may require setup for first-time users
- Primarily focused on review workflows rather than general-purpose AI
What is Rayyan best for?
- Researchers
- Academic teams
- Systematic review authors
- Evidence synthesis teams
- Literature review workflows