The Challenge
Systematic literature reviews are essential for rigorous research but traditionally require months of manual screening and synthesis. AI accelerates this process while maintaining methodological rigor.
AI Capabilities
- Comprehensive literature search across databases
- Automated screening and relevance assessment
- Data extraction and coding
- Synthesis and gap identification
Methodology Integration
Search Strategy
AI assists in developing and executing comprehensive search strategies across multiple databases.
Screening
Machine learning models trained on inclusion/exclusion criteria accelerate abstract and full-text screening.
Synthesis
AI identifies themes, synthesizes findings, and highlights gaps while maintaining source attribution.
Quality Assurance
Maintain rigor through human verification of AI decisions, transparent reporting of methods, and documentation of AI assistance.
Best Practices
Use AI to augment, not replace, researcher judgment. Document AI methods for reproducibility and transparency.