Rayyan

Rayyan is an AI-powered platform specifically built for conducting systematic literature reviews — the rigorous, structured process researchers use to identify, screen, and synthesize all relevant published studies on a specific research question, common in fields like medicine, public health, and other evidence-based research disciplines. It's built around the specific workflow that a systematic review requires: importing a large batch of candidate studies, screening titles and abstracts for relevance, and resolving disagreements when multiple reviewers screen the same set independently. Its AI features are aimed at speeding up the most time-consuming part of a systematic review — screening potentially thousands of candidate studies — by suggesting likely-relevant or likely-irrelevant studies based on patterns in the reviewer's own screening decisions, while keeping a human reviewer in control of every final inclusion/exclusion decision rather than automating the decision itself. It also supports collaborative screening among a review team and data-management tools for organizing the review's findings. Rayyan is aimed at researchers and research teams conducting systematic literature reviews or meta-analyses who need to manage and accelerate the large-scale screening process central to that methodology, rather than a general-purpose research or citation tool. It's specialized specifically for the systematic-review workflow used in evidence-based research.