SkinCheck develops an AI-powered mobile application that utilizes computer vision to analyze images of moles and lesions for early skin cancer detection. The platform enables users to monitor skin health over time, facilitating timely consultations with dermatologists when concerning changes are identified.
Funding
Funding not disclosed
Founders
Product
Problem
Early detection of skin cancer relies on regular monitoring of moles and lesions, but traditional methods often require in-person visits to a dermatologist, creating barriers to frequent and convenient self-exams. Delays in detection can lead to more advanced stages of skin cancer, reducing treatment options and increasing mortality rates.
Solution
SkinCheck is a mobile application that empowers users to proactively monitor their skin health and detect potential skin cancers early. Utilizing computer vision, the app analyzes user-submitted images of moles and lesions, tracking changes over time and providing a comprehensive history of skin health. By simplifying self-exams and facilitating timely consultations with dermatologists, SkinCheck aims to improve patient outcomes through early detection and intervention. The platform connects users with telehealth dermatologists for consultations and facilitates referrals to in-person clinic appointments when necessary.
Target Audience
SkinCheck targets individuals who want to proactively monitor their skin health, as well as dermatologists and primary care physicians seeking to improve patient engagement and facilitate early detection of skin cancer.
Features
- AI-powered image analysis of moles and lesions for change detection
- Personalized tracking criteria including lesion characteristics, photo examples, and risk priority tagging
- Secure storage of images and health information with HIPAA compliance
- Telehealth dermatology consultations for concerning lesions
- Referral network for in-person clinic appointments
- Available outside of the U.S.A. with A.I. features