About SkinAI
Using artificial intelligence to improve skin health education
Our Mission
At SkinAI, we believe that early detection saves lives. Our mission is to leverage the power of artificial intelligence to provide accessible skin health education and empower individuals to be proactive about their skin health.
Skin cancer is one of the most common types of cancer, with over 5 million cases diagnosed worldwide each year. When detected early, the 5-year survival rate for melanoma is over 99%. However, if it spreads to distant parts of the body, the survival rate drops to about 27%.
By creating an educational tool that helps people understand potential skin concerns, we hope to encourage earlier medical consultations and improve outcomes through early detection.
Our Technology
SkinAI uses state-of-the-art deep learning models trained on large datasets of dermatological images.
Training Data
Our models are trained on the HAM10000 dataset, which contains over 10,000 dermatoscopic images of skin lesions across seven different categories.
AI Models
We utilize two powerful convolutional neural network architectures:
- MobileNetV2: A lightweight model optimized for mobile devices with 74% accuracy
- EfficientNetB0: A more complex model with 69% accuracy on skin cancer classification
Continuous Improvement
We regularly update our models with new training data and improved architectures to enhance accuracy and performance. Our team monitors the latest advancements in AI and dermatology to ensure SkinAI remains at the cutting edge.
Our Team
SkinAI was created by a multidisciplinary team of AI researchers, software engineers, and healthcare professionals.
Dr. Sarah Johnson
Medical Director
Board-certified dermatologist with over 15 years of experience in skin cancer detection and treatment.
Dr. Michael Chen
AI Research Lead
PhD in Computer Science with expertise in deep learning and computer vision for medical applications.
Emma Rodriguez
Lead Developer
Full-stack developer specializing in AI-powered web applications and user experience design.
Dr. James Wilson
Medical Advisor
Oncologist with a focus on melanoma research and early detection methodologies.
Our Research
The technology behind SkinAI is based on peer-reviewed research in dermatology and artificial intelligence. Our team has published several papers on the application of deep learning for skin lesion classification.
We collaborate with leading medical institutions to validate our models and ensure they meet high standards of accuracy and reliability. While our tool is for educational purposes only, we strive to maintain the highest level of scientific rigor in our approach.
Medical Disclaimer
SkinAI is designed to be an educational tool only and is not a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition.
The information provided by SkinAI is not intended to diagnose, treat, cure, or prevent any disease. Never disregard professional medical advice or delay seeking it because of something you have read or seen on SkinAI.
Ready to try SkinAI?
Upload an image of your skin lesion and get an AI-powered analysis in seconds.