Intelligent Automation
EvidAI employs advanced artificial intelligence throughout the systematic review workflow, delivering unprecedented efficiency while maintaining the highest quality standards.
Our AI Philosophy
Human-Centered Design
We believe AI should:
- Augment, not replace human expertise
- Accelerate routine tasks so you focus on judgment
- Provide transparency in all decisions
- Maintain your control over critical choices
Quality First
Every AI feature prioritizes:
- Accuracy over speed
- Transparency over convenience
- Verification over automation
- Your judgment over AI decisions
How Our AI Works
Multi-Agent Intelligence
Rather than relying on a single AI approach, EvidAI employs multiple intelligent agents that:
- Analyze from different perspectives
- Achieve consensus through agreement
- Flag uncertainty for human review
- Learn from your corrections
Benefits of This Approach
| Single AI | Multi-Agent AI |
|---|---|
| Single point of failure | Redundant verification |
| Opaque decisions | Transparent consensus |
| Fixed performance | Continuous improvement |
| Binary outputs | Confidence gradients |
AI Throughout the Workflow
Protocol Phase
AI assists with:
- Research question structuring
- PICO element extraction
- Methodology recommendations
- Search strategy suggestions
Search Phase
AI provides:
- Query optimization
- Database syntax translation
- Duplicate detection
- PDF resolution
Screening Phase
AI delivers:
- Relevance predictions
- PICO highlighting
- Priority ranking
- Active learning
Extraction Phase
AI enables:
- Automated data extraction
- Field pre-population
- Source linking
- Validation checks
Quality Phase
AI supports:
- Evidence identification
- Quote extraction
- Preliminary assessments
- Consistency checking
Synthesis Phase
AI offers:
- Analysis recommendations
- Statistical validation
- Result interpretation
- Visualization generation
Writing Phase
AI generates:
- Section drafts
- Grammar checking
- Style suggestions
- Citation formatting
Performance Standards
Validated Accuracy
Our AI is tested against:
- Expert gold standards
- Published validation sets
- Ongoing quality monitoring
- User correction feedback
Continuous Improvement
The system learns from:
- User decisions
- Correction patterns
- New research methods
- Emerging best practices
What AI Cannot Do
We're transparent about limitations:
- Cannot replace domain expertise
- Cannot make clinical judgments
- Cannot guarantee 100% accuracy
- Cannot operate without oversight