Skinscreener

Skinscreener provides an AI-powered mobile application for the risk assessment of skin lesions. Users can capture images of moles and other skin changes, with the app performing on-device analysis to classify risk and facilitate proactive skin health monitoring.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

The increasing incidence of skin cancer worldwide necessitates accessible and proactive monitoring tools. Traditional methods for assessing suspicious skin lesions are often limited by access to specialized medical professionals and the need for in-person examinations, potentially delaying early detection.

Solution

Skinscreener offers a CE-certified Class IIa medical device application that leverages artificial intelligence for the risk assessment of skin lesions. Users can capture images of moles and other skin changes using their smartphone camera, with the app performing an AI-driven analysis on-device. This provides immediate, easy-to-understand risk stratification, empowering individuals to monitor their skin health proactively and facilitating timely consultation with healthcare providers when necessary. The platform supports ongoing self-monitoring through a visual body map and a personal archive of scans.

Target Audience

The primary users are individuals seeking to proactively monitor their skin health and manage personal risk for skin cancer, as well as corporate health programs looking for preventive screening tools.

Features

AI-powered image analysis of skin lesions using a clinically validated neural network, achieving 95% accuracy in detecting relevant skin tumors.
On-device risk assessment providing immediate low, medium, or high-risk classifications for user-friendly interpretation.
Integrated visual body map for organizing and localizing scanned skin spots across different body areas.
Secure personal archive for storing scan history, enabling longitudinal tracking of skin changes.
CE-certified Class IIa medical device compliant with the European Medical Device Regulation (MDR).
ISO 13485 certified quality management system.
Smartphone camera and flash integration for image acquisition, with an initial camera quality test to ensure optimal data input.
Support for iOS version 13.0+ and Android version 9.0+, excluding Xiaomi devices.