SafeLens
Accuracy Reports
Transparent reporting of SafeLens AI performance across all health detection categories
Overall Performance Metrics
Comprehensive accuracy measurements validated against clinical standards
Overall Accuracy
Across all detection categories
Sensitivity
True positive detection rate
Specificity
True negative detection rate
Precision
Positive predictive value
Validation Methodology
Clinical Validation
- • Validated against board-certified dermatologist diagnoses
- • Cross-referenced with histopathological results
- • Tested on diverse patient populations
- • Multi-institutional validation studies
Dataset Composition
- • 500,000+ clinically annotated images
- • Diverse skin types and ethnicities
- • Multiple imaging conditions and devices
- • Longitudinal patient data included
Category-Specific Performance
Detailed accuracy metrics for each health detection category
Dermatological Conditions
Melanoma Detection
Validated on 15,000 dermoscopic images
Basal Cell Carcinoma
Validated on 8,500 clinical images
Acne Severity
Compared to dermatologist grading
Wellness Indicators
B12 Deficiency
Correlated with serum B12 levels
Iron Deficiency
Validated against ferritin levels
Dehydration
Compared to urine specific gravity
Mental Health Indicators
Stress Detection
Validated against cortisol levels
Fatigue Assessment
Compared to sleep quality scores
Mood Analysis
Validated against PHQ-9 scores
Limitations & Considerations
Transparent reporting of model limitations and factors affecting accuracy
Known Limitations
- • Performance varies with image quality and lighting conditions
- • Reduced accuracy on very dark or very light skin tones
- • Cannot detect internal conditions or systemic diseases
- • May be affected by makeup, facial hair, or accessories
- • Not validated for pediatric populations (under 18)
- • Performance may vary across different camera types
Optimal Conditions
- • Natural daylight or well-balanced artificial lighting
- • Clean, unobstructed view of the analysis area
- • Stable camera position and clear focus
- • Minimal shadows or harsh lighting contrasts
- • Subject positioned according to app guidelines
- • High-resolution camera (minimum 2MP recommended)
Continuous Improvement
Regular Updates
Models updated quarterly with new training data and improved algorithms
Performance Monitoring
Continuous monitoring of real-world performance and user feedback
Expert Validation
Ongoing collaboration with medical experts to validate and improve accuracy
Our Commitment to Transparency
We believe in open, honest reporting of our AI performance to build trust and enable informed decisions
Honest Reporting
We report both strengths and limitations of our AI models without exaggeration
Regular Updates
Accuracy reports updated quarterly with the latest validation results
Expert Review
All accuracy claims reviewed and validated by independent medical experts
For detailed technical reports or questions about our validation methodology:
Contact Our Research Team