🔬 Peer-Reviewed Research

Clinical-Grade Skin Intelligence

Stun's AI skin analysis technology is trained on over 70,000 medical-grade images and validated by board-certified dermatologists in peer-reviewed clinical studies.

HIPAA Compliant
GDPR Compliant
Privacy First
70,000+
Medical-Grade Images
Training Dataset
20×
Faster Results
vs. Clinical Equipment
14
Skin Metrics
Comprehensive Analysis

Dermatologist
Validated

Peer-Reviewed Publication

Our AI skin analysis technology has been validated in a study published in the Journal of Dermatological Treatment, confirming its reliability for clinical dermatology applications.

Physician Correlation

Results show high correlation with assessments done by physicians, confirming the technology's reliability in identifying skin concerns that matter to dermatology professionals.

Diverse Testing

Rigorously tested across patients with varying skin tones, types, ages, and genders, and under different lighting conditions to ensure reliable results for everyone.

Hardware-Grade Accuracy

Demonstrates positive correlation with standard imaging devices widely used in dermatology clinics, now accessible from your iPhone or tablet.

Clinically
Validated

AI-powered facial analysis technology demonstrated excellent test-retest reliability with an intraclass correlation coefficient (ICC) greater than 0.90, showing highly consistent and accurate identification of skin concerns across multiple scans.
Dr. Steven R. Feldman
Professor of Dermatology, Wake Forest School of Medicine
Published In Journal of Dermatological Treatment
Key Finding High correlation with physician assessments
Testing Diverse skin tones, types, ages & lighting conditions

14 Clinical
Skin Metrics

Each analysis evaluates the same metrics used by dermatologists to assess skin health.

💧
Hydration
Radiance
🔲
Texture
Pores
〰️
Wrinkles
🔴
Redness
Spots
💪
Firmness
👁️
Dark Circles
💤
Eye Bags
🫧
Oiliness
🎯
Acne
👀
Droopy Eyelids
📊
Skin Age

Experience Clinical-Grade
Skin Analysis

Track your skin health over time with dermatologist-validated AI technology.

Download on the App Store
Statistical claims are based on peer-reviewed clinical studies. Individual results may vary. Stun is not a medical device and does not provide medical diagnosis or treatment recommendations.