Rayyan

AI-driven systematic literature review platform, officially used by millions of researchers for screening, deduplication and PICO extraction. It supports multi-person collaboration and audit trails, and also offers mobile access and risk of bias assessment. The basic version is permanently free.

AI Search Engine#Literature Review#Screening#Collaboration

Updated: 2026-10-26

What is Rayyan?

Rayyan is an AI-driven literature management tool officially positioned as "the world's number one systematic review platform", integrating the entire workflow of systematic reviews from screening and deduplication to data extraction into a single platform. Officially, it is claimed to be used by more than 1 million researchers and over 30,000 institutions across more than 190 countries, making it the most widely used evidence synthesis platform in active scientific research. The platform emphasizes features such as Auditability, Transparency, and Reproducibility, and continuously introduces new AI capabilities to help researchers accelerate evidence-based research.

Who is it for?

Research teams conducting systematic reviews, meta-analyses and evidence-based research, especially formal research projects that require multi-collaboration, dual independent screening and retention of process records; it is also suitable for practitioners and postgraduates in fields such as medicine, public health and nursing who need standardized literature management workflows.

Key features

AI-assisted Screening and Deduplication

Systematic Auto-Resolver automatically judges the relevance of literature and processes duplicate literature. The official claims that it can automate the screening and deduplication processes, saving a great deal of manual interpretation.

PICO Information Extraction

Automatically extract research elements based on the PICO (Population, Intervention, Comparison, Outcome) structure, facilitating subsequent summarization and comparison. It is a core function explicitly listed on the official website.

Collaboration and Dispute Resolution

Supports multiple researchers to screen documents simultaneously and resolve disputes, meeting the common requirement of independent dual screening for systematic reviews and being suitable for formal research projects.

Auditability and Reproducibility

The platform lists auditability, transparency, and reproducibility as its key selling points, with complete records of the screening process retained to facilitate methodological review and result reproduction.

Mobile and Productivity Tools

Offers a mobile app and programmable hot keys for smoother long-term article screening; also supports a Data Sampling feature.

New Capabilities

Launched in recent years, ResearchPilot™ and Risk Of Bias (RoB) risk of bias assessment extend the systematic review process from article screening to quality evaluation.

How to use Rayyan

Basic use is free and no credit card is required.
you can start directly with small reviews.
Large projects or institutions can evaluate the Enterprise version.
Before official adoption, it is recommended to first check the methodological requirements of your institution to confirm whether its output format and reporting specifications match.
New features (such as risk of bias assessment, ResearchPilot) can be first trialed on a small scale in real projects, and the process can be rolled out after it is smooth.

Things to know

AI screening and deduplication can accelerate the process, but the final inclusion/exclusion decisions should still be reviewed by researchers to avoid automated misjudgments affecting the quality of the review; platform data is stored in the cloud, so projects involving sensitive or controlled data must first confirm the institution's data compliance requirements; the free version is for basic use, and large-scale collaboration and advanced functions may require payment, which shall be subject to the official website; the mobile version is suitable for light operations, and it is recommended to conduct long-term and large-scale screening on the desktop side.