Rayyan

Rayyan is a specialized web-based platform designed to support researchers in conducting systematic reviews and literature reviews. Its primary purpose is to streamline the entire review process, from initial search to final data extraction, by combining artificial intelligence with collaborative tools. The platform is widely used by over one million researchers, including those from academic institutions, healthcare organizations, and evidence-based practice groups. Rayyan’s core function is to help users organize, manage, and accelerate systematic reviews. Researchers begin by creating a new review project, where they can upload references from databases such as PubMed, Scopus, Web of Science, or other citation managers. The platform then applies AI-powered features to assist in screening. Its machine learning algorithm learns from user decisions during title and abstract screening, prioritizing the most relevant studies and reducing the time needed for manual screening by up to 90%. This AI-assisted screening is particularly valuable for large-scale reviews, where thousands of records must be evaluated. Another key feature is duplicate detection. Rayyan’s advanced deduplication engine automatically identifies and merges duplicate records from different sources, saving researchers from the tedious task of manual checking. The platform also includes a systematic resolver tool, which helps resolve conflicts that arise when multiple reviewers disagree on study inclusion. This ensures consistency and transparency in the review process. Collaboration is a fundamental aspect of Rayyan. Multiple reviewers can work on the same project simultaneously, with real-time updates and synchronized data. The platform supports blinded screening, allowing reviewers to make independent d