risk-assessment

What I do

I synthesize lesion detection results with historical similar cases to generate a comprehensive risk profile. I use WebLLM (SmolLM2) for offline inference to calculate risk scores with equalized odds correction.

When to use me

Use this when:

• Similar case search is complete and you need risk scoring
• You need a numerical risk assessment for clinical decision support
• You're combining multiple signals into an overall risk profile

Key Concepts

• WebLLM: Browser-based LLM for offline inference
• SmolLM2: Efficient LLM model for risk synthesis
• Equalized Odds Correction: Fairness-aware risk calibration
• Risk Score: Numerical assessment (Low/Medium/High)
• risk_assessed: State flag after assessment complete

Source Files

• services/vision.ts: Risk assessment implementation
• types.ts: AnalysisResult interface

Code Patterns

• Synthesize lesion data with historical patterns
• Apply equalized odds correction for demographic fairness
• Return risk level (Low/Medium/High) with supporting evidence

Operational Constraints

• Must provide equalized odds across demographics
• Heavy model - must expose unload() method
• Confidence scores required for all risk assessments