Rayyan
Accelerate systematic literature reviews with AI-powered screening
Target Audience
- Academic researchers
- Systematic review teams
- Medical meta-analysis groups
- Evidence-based practice professionals
Hashtags
Overview
Rayyan helps researchers quickly organize and analyze academic papers for reviews. Its AI automatically flags duplicate studies and prioritizes relevant content, saving weeks of manual work. Teams can collaborate in real-time across web and mobile platforms to streamline evidence synthesis.
Key Features
AI Screening
Reduces screening time by up to 90% using machine learning
Deduplication
Automatically removes duplicate references from datasets
Bulk Actions
Manage multiple studies simultaneously with batch editing
PICO Framework
Structure research questions using evidence-based parameters
Team Collaboration
Real-time editing and role-based access controls
Use Cases
Conduct systematic literature reviews
Collaborate on academic research teams
Filter studies using PICO criteria
Screen papers via mobile app
Remove duplicate research papers
Pros & Cons
Pros
- Drastically reduces manual screening time
- Robust duplicate detection for clean datasets
- Mobile access enables on-the-go research
- PRISMA-compliant workflow automation
Cons
- Steep learning curve for new researchers
- Primarily focused on academic use cases
- Advanced features require account creation
Frequently Asked Questions
How does Rayyan save time on systematic reviews?
Rayyan uses AI to automatically detect duplicates and prioritize relevant studies, reducing manual screening work by up to 90%.
Can teams collaborate on reviews?
Yes, Rayyan offers real-time collaboration with role-based access controls and team management features.
What file formats does Rayyan support?
Imports data from popular reference managers including Mendeley, Zotero, and EndNote.
Integrations
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