MetaScreener
Transform your literature screening process
An advanced AI-powered tool that helps researchers efficiently screen abstracts and full-text PDFs for systematic reviews and meta-analyses. Designed to significantly reduce screening workload while maintaining reliability through human-AI collaboration.
How It Works
Set up your LLM provider and API key for the screening process.
Define your inclusion/exclusion criteria using structured frameworks.
Upload RIS files or PDFs and begin the automated screening process.
Evaluate methodological quality of included studies using standardized tools.
Extract key information from full-text documents with customizable templates.
Analyze results, export data, and make final decisions confidently.
Key Features
Multiple LLM Providers
Leverage DeepSeek, OpenAI, Google Gemini, or Anthropic Claude models with your own API keys for optimal results.
Flexible Screening Frameworks
Choose from PICOT, PICOS, SPIDER, PECO and other evidence-based frameworks to structure your review criteria.
Multi-Format Support
Screen literature from RIS files with abstracts or analyze full-text PDFs with intelligent text extraction and OCR capabilities.
Accelerated Workflow
Process multiple documents simultaneously with multi-threading and real-time progress tracking.
Performance Metrics
Evaluate screening accuracy with confusion matrices, Cohen's Kappa, sensitivity, specificity, and workload reduction statistics.
Data Extraction
Extract structured data from full-text documents with customizable extraction templates and JSON formatting.
Literature Quality Assessment
Evaluate the methodological quality of included studies using multiple assessment frameworks and standards to ensure comprehensive quality appraisal.
Ready to transform your literature screening?
Choose your path to get started with MetaScreener
Customize Criteria
Define detailed inclusion and exclusion criteria for your specific review needs.
Define Criteria