Rayyan

An AI-powered platform that makes literature reviews more efficient and less time-consuming

Rayyan is an AI-powered platform that makes literature reviews more efficient and less time-consuming. And, in fact, it promises to reduce screening time by up to 90% — which is rather impressive.

Whereas traditional systematic reviews often involve manual screening of thousands of articles, Rayyan leverages AI tech to pretty much fly through the screening process. Its intuitive interface allows researchers to seamlessly collaborate, making inclusion and exclusion decisions with ease. Furthermore, the platform’s ability to highlight keywords and suggest potential inclusions significantly accelerates the review process.

Rayyan’s advanced deduplication system automatically identifies and removes duplicate references to ensure that researchers don’t waste time reviewing the same article multiple times. This is meant to enhance efficiency while maintaining the integrity of the review process by focusing on unique studies.

Moreover, Rayyan has a mobile app to empower researchers to work from anywhere, anytime. So, whether you’re commuting or traveling, you can continue your review seamlessly, transforming downtime into productive time.

Another noteworthy aspect is Rayyan’s support for the PICO framework, which allows users to structure their research questions by Population, Intervention, Comparison, and Outcome. This structured approach facilitates more precise filtering and categorization of studies, enhancing the overall quality of the systematic review.

To sum it up, Rayyan offers a robust solution for streamlining systematic reviews, leveraging AI to enhance efficiency and accuracy. Its feature set caters to a broad spectrum of users, from individual researchers to large teams, making it a valuable tool for anyone involved in evidence-based research. If that includes you, well, you may want to check it out.

Homepage Screenshot 📸

Video Overview 🎬

What are the key features? ✨

AI-powered screening: Rayyan's AI tech significantly streamlines the review process, reducing screening time by up to 90%.
Advanced deduplication: Automatically identifies and removes duplicate references, ensuring a clean and organized dataset.
Mobile accessibility: Offers a mobile app that enables researchers to work on reviews from anywhere.
PICO framework support: Allows structuring of research questions by Population, Intervention, Comparison, and Outcome for precise filtering.
Collaboration included: Enables seamless collaboration among multiple reviewers, enhancing the efficiency of the review process.

Who is it for? 🤔

Rayyan primarily targets researchers, healthcare professionals, policy makers, students, and research teams involved in conducting systematic reviews and literature reviews. By automating and streamlining the screening process, Rayyan reduces the time and effort required - enabling users to focus on critical analysis and decision-making. Its collaborative features make it particularly beneficial for teams working together on extensive reviews.

Examples of what you can use it for 💡

Academic researchers can expedite the literature review process, focusing more on analysis and less on manual screening
Healthcare professionals conducting evidence-based research can efficiently manage and review relevant studies
Policy makers can quickly synthesize existing literature to inform policy decisions
Students embarking on thesis projects can manage and organize their literature reviews systematically
Research teams can collaborate in real-time, ensuring consistency and efficiency in the review process

Pros & Cons ⚖️

Significantly reduces the time required for screening articles
Intuitive design makes it accessible to even to non-tech users
The mobile app allows for on-the-go access

New users may require time to fully utilize all features effectively

FAQs 💬

What is Rayyan mainly used for?

Rayyan is a platform that helps researchers handle systematic reviews and literature reviews. It streamlines screening articles and managing data to make the process faster and more organized.

Who typically uses Rayyan?

PhD students, professors, librarians, scientists, and clinicians use it. Anyone doing evidence-based research or team reviews finds it helpful.

How does Rayyan integrate with other tools?

It imports references from PubMed, Google Scholar, EndNote, Zotero, and EBSCO. This lets users pull in search results easily without starting from scratch.

Does Rayyan have a free version?

Yes, the basic version is free and supports up to three active reviews. It includes core features like screening and deduplication for individual users.

Can teams collaborate on reviews in Rayyan?

Absolutely, it supports multiple teams with role-based access. Reviewers can work blindly on the same project and track progress together.

What AI features does Rayyan offer for screening?

The AI highlights key terms like PICO elements and ranks articles by relevance. This can cut screening time by up to 90 percent in some cases.

Is Rayyan available on mobile devices?

Yes, there's a mobile app for iOS and Android. Users can screen articles offline and sync changes later.

How accurate is Rayyan's predictions for including or excluding studies?

It shows high sensitivity, often catching 90 to 100 percent of relevant studies. Specificity varies from 8 to 62 percent, so human oversight is key.

Does Rayyan help create PRISMA flow diagrams?

Yes, premium users get automatic PRISMA diagrams. These visualize the review process for better reporting and reproducibility.

What support resources are available for new Rayyan users?

The help center has guides, videos, and FAQs. Users also get in-app AI chat support and email help for quick answers.

Ready to try Rayyan?