Yes. You can save or screenshot your scan results and show them to your doctor. This can be a helpful first step in prioritizing which moles need medical attention.
Yes. SkinScreener is an ideal tool for corporate health initiatives and preventive screening programs. It can be integrated into employee wellness strategies to support early detection and awareness.
No. SkinScreener is not a substitute for a medical diagnosis. It supports early detection but cannot replace a physical examination or expert opinion. If the app flags a suspicious spot, consult a dermatologist.
If your scan result shows a HIGH RISK rating, it means you should see your dermatologist as soon as possible. The specialist will then verify the results by further specialist examinations.
If your scan result shows a LOW RISK, we advise to monitor the spot on your skin regularly and rescan it at least once a month. If your scan result shows a MEDIUM RISK or HIGH RISK rating, it means you should see your dermatologist as soon as possible and earlier than the recommended dermatological examinations. The specialist will then verify the results by further specialist examinations.
One in five people develop skin cancer. Skin cancer and its preliminary stages are visible and palpable. Therefore, regular self-examinations can help you discover early on where new skin changes have appeared or existing moles have grown. The earlier skin cancer is detected, the higher are the chances of recovery.
We monitored that the incidence of skin cancer has increased steadily worldwide in recent years. Statistically, the probability of developing skin cancer once in a lifetime is about 20%. The earlier skin cancer can be detected, the better are the chances of recovery. This is why we, with all our expertise from medical and technical backgrounds, have developed SkinScreener. We wanted to offer a smart way to determine the personal risk of altered skin areas with an App.
In the App, you are asked to take a photo of the designated skin area with the camera of your smartphone. The image is then run through our clinically proven neural network. You immediately receive the result. The risk assessment for skin cancer is indicated by an easy to understand 3 color code (low, medium, high risk). Green means low risk, yellow means medium risk, and red means high risk.
Yes. SkinScreener is developed and clinically proven by a team of dermatologists, physicians, and biomedical engineers. SkinScreener is a Class I medical device and complies with the requirements of the European Directive 93/42/EEC. A clinical study at the Medical University of Graz (using more than 600 images of real patients) has proven that SkinScreener has an impressive accuracy rate of 95% in the detection of skin cancer. We recommend reading the Instructions for Use in its entirety prior to first use.
SkinScreener is a Class I medical device and complies with the requirements of the European Directive 93/42/EEC. In order to ensure the highest possible technical and medical safety, our team of doctors and technicians is constantly working to ensure and further develop our quality management system, which is associated with high costs. By using SkinScreener, you can initiate medical treatment at an early stage through the appropriate risk assessment and reduce the progression of skin cancer and its preliminary stages. We offer the first scan for free, so you can download the App and see how it works without paying for it. If you would like to do more scans, you can pick a subscription model which fits you best.
Unfortunately SkinScreener is currently unavailable for Xiaomi users.
For all other smartphones, the technical requirements for using SkinScreener are iOS operating system version 13.0 or later or Android operating system version 9.0 or later. In order to have a correct risk assessment, a good working smartphone camera and flash is required. To ensure that the camera quality is good enough, a camera test must be performed before you can start scanning.
SkinScreener’s risk assessment is based on a clinically validated algorithm that was developed and tested in collaboration with the Medical University of Graz. The algorithm works with a neural network that uses artificial intelligence to ensure a risk assessment with an accuracy of 95%.
Yes, the protection of personal data during data processing is important to medaia GmbH as the entity responsible for data processing.
For this reason, medaia GmbH complies with all provisions of the General Data Protection Regulation (GDPR) and the Data Protection Act (DSG) when using personal data and strives for the best possible transparency. medaia GmbH processes personal data in accordance with the principles of lawfulness, good faith, transparency, accuracy, purpose limitation, data minimization and storage duration limitation.
According to the EU Regulation 2017/745 (MDR) Chapter I, Article 2/1, a medical device is an instrument, apparatus, appliance, software, implant, reagent, material or other article which, according to the manufacturer, is intended for human use and which, alone or in combination, is intended to fulfill one or more of the following specific medical purposes: Diagnosis, prevention, monitoring, prediction, prognosis, treatment or alleviation of disease, diagnosis, monitoring, treatment, alleviation of or compensation for injury or disability, examination, replacement or modification of anatomy or of a physiologic or pathologic process or condition, obtaining information by the in vitro examination of specimens derived from the human body, including organ, blood and tissue donations, and whose principal intended action in or on the human body is not achieved by pharmacological, immunological or metabolic means, but whose mode of action may be enhanced by such means.
