Rayyan

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.