ASReview
AI-assisted systematic literature review screening and selection.
Overview
ASReview helps researchers efficiently screen large volumes of academic papers for systematic reviews and meta-analyses. It uses active learning to prioritize the most relevant papers, reducing manual screening workload by up to 95%. Designed for academics and research teams who need to process thousands of citations quickly while maintaining rigor.
Pros
- Reduces screening workload by prioritizing relevant papers first
- Open-source with no licensing costs or vendor lock-in
- Active learning adapts to your relevance decisions in real-time
- Supports batch import of citations from major databases
- Includes uncertainty sampling to find edge-case papers
✕ Cons
- Steep learning curve for non-technical researchers
- Requires manual setup and configuration for each project
- Limited built-in export formats for final results
Key Features
Use Cases
Best For
Frequently Asked Questions
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Pricing Plans
Free
- Open-source systematic review software
- Desktop application with core functionality
- Support for screening and labeling tasks
- Community-based support
Cloud HostedMost Popular
- Web-based collaborative interface
- Team project management
- Cloud storage and synchronization
- Advanced analytics and reporting
Enterprise
- Custom deployment and integration
- Dedicated support and SLA
- Advanced user management and permissions
- API access and custom features
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