At SkinVision, our mission is to help you stay one step ahead when it comes to your skin health.
Our Smart Check feature uses advanced AI technology, trained and validated by dermatologists, to assess your skin spots for early signs of the most common types of skin cancer.
What SkinVision can help detect
Our technology is designed to support the early detection of:
Melanoma
Basal Cell Carcinoma (BCC)
Squamous Cell Carcinoma (SCC)
In addition, SkinVision can recognize signs of certain pre-cancerous conditions, such as actinic keratosis.
Remember: early detection is key to successful treatment and improved outcomes.
How the SkinVision algorithm works
SkinVision’s technology is powered by machine learning, meaning it continuously improves by learning from real-world data.
Our algorithm has been trained on more than 200,000 skin spot images, selected from a database of over 3.5 million photos reviewed by dermatologists.
This deep learning process enables the algorithm to recognize subtle visual patterns that may indicate a higher risk of skin cancer.
To ensure medical reliability, the algorithm’s performance is validated against biopsy-confirmed cases, the gold standard in dermatology.
In clinical studies, SkinVision reached a specificity rate of 80.1% for clearly benign lesions, meaning it helps reassure users about harmless spots while identifying those that need further attention.
For more scientific details, you can explore our published research here:
Guidance, not diagnosis
SkinVision provides a risk assessment, not a medical diagnosis.
Think of it as your first step toward peace of mind, helping you decide when to visit a doctor for further evaluation.
Our goal is to empower you with knowledge and make skin health management simple, accessible, and effective.