Rayyan

Rayyan is a web-based research collaboration platform designed to streamline the systematic review and literature screening process for academic researchers. Developed by researchers specifically for researchers, the application provides a comprehensive solution for managing citations, organizing references, and making systematic decisions about study inclusion and exclusion throughout the research workflow.

The platform offers an intuitive interface for screening articles and references efficiently, whether working individually or as part of a collaborative team. Rayyan's core functionality enables users to upload references from multiple external databases in various supported file formats, then systematically evaluate each citation for relevance and suitability. The application automatically detects and removes duplicate articles from search results, streamlining the deduplication process and reducing manual effort during the initial data management phase.

A key feature of Rayyan is its AI-powered five-star relevance ranking system, which learns from reviewer decision patterns and applies that learning to predict the probability that additional articles will meet inclusion criteria. This intelligent automation helps accelerate the screening process by identifying articles most likely to be relevant based on decisions already made during the review. Reviewers can assign labels and tags to articles, add detailed notes, and document reasons for inclusion or exclusion decisions, creating a transparent and traceable record of the selection process that strengthens the methodological rigor of systematic reviews.

Rayyan supports collaborative research through role-based access control, allowing team members to be assigned as reviewers, collaborators, or viewers with corresponding levels of permissions and responsibilities. This structure protects review data integrity while enabling multiple stakeholders to contribute to the screening and evaluation process. The platform provides detailed tracking of review progress, showing the number of records reviewed and excluded with reasons for each decision.

The application operates as both a web platform and mobile application, with offline functionality that allows researchers to continue work without an internet connection. This flexibility makes it accessible for researchers working in various settings and circumstances. The free version of Rayyan allows users to manage up to three active reviews simultaneously, with the option to upgrade for additional capacity, making it accessible to researchers with different project needs and budgetary constraints.

Rayyan is particularly suitable for conducting systematic reviews, scoping reviews, and other literature review projects that require standardized screening processes, clear documentation of decision criteria, and collaborative team coordination. Its combination of automation features, collaborative tools, and transparent tracking mechanisms addresses key challenges in evidence synthesis and literature review methodology.

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Website: rayyan.ai

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