Rayyan

What is Rayyan?

Rayyan is an AI-assisted platform designed to streamline the process of conducting systematic literature reviews. It provides researchers with tools to manage large volumes of research papers, screen them efficiently, and extract relevant data. The platform utilizes machine learning to help prioritize studies for review, reducing the manual effort involved in sifting through numerous articles. Users can upload their search results and begin the screening process, tagging studies as relevant or irrelevant based on predefined criteria.

Key functionalities include dual-screen review, where two reviewers can independently assess studies, and a consensus mechanism to resolve disagreements. This collaborative feature ensures the reliability and reproducibility of the review process. Rayyan also offers data extraction capabilities, allowing researchers to systematically collect specific information from included studies. The interface is designed for ease of use, enabling teams to work together on complex review projects, track progress, and maintain an audit trail of decisions made.

This tool is particularly useful for academic researchers, meta-analysts, and institutions undertaking evidence synthesis for policy, clinical practice, or further research. It aims to reduce the time and resources required for literature reviews, making the process more manageable and accurate. While the platform offers AI-driven features, human oversight remains central to the review and data extraction stages.

Key features

• AI-powered study prioritization
• Collaborative screening
• Dual-screen review
• Data extraction tools
• Audit trail
• Tagging and filtering
• Project management

Use cases

• Conducting systematic reviews for academic publications.
• Performing meta-analyses by screening research papers.
• Synthesizing evidence for clinical guidelines.
• Managing large-scale literature searches for research projects.
• Supporting systematic reviews in public health research.

Pros & cons

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