Skin cancer is the most common type. So much so that 200,000 new cases of melanoma are diagnosed annually in the world, according to estimates from World Health Organization (WHO).

It is in this context that it is known the SkinVision application which seeks to promote mole self-examination to identify skin cancer risk.

In a recent study conducted by the Journal of the European Academy of Dermatology (JEADV), this was found this app can detect signs of skin cancer with 95% accuracy..

Using SkinVision at home allows early detection of possible skin cancer and provides education about sun exposure. This is not a diagnostic tool, rather it provides an assessment of the risk of skin cancer so that later, the patient undergoes appropriate control with a dermatologist. So far it has detected more than 50,000 risk cases of skin cancer and has more than 2 million SkinVision patients worldwide.

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This application is worldwide, it is more than 10 years old and its effectiveness has been proven in countries such as: Netherlands, USA, Canada, United Kingdom, New Zealand and Australia. In addition, it is a service that is continuously being measured through third-party studies to improve performance day by day.

this service combines artificial intelligence technology with the expertise of professionals skin health and dermatologist on smartphone. Users take photos of their moles and they are analyzed by an algorithm that returns a rating. If not at risk, photo education kits and sun protection are provided. If so, it is advisable to consult a specialist.

Everyone who has a smartphone and is in the territory of Argentina can access this service free of charge for 72 hours after registration. To do so, you must follow these steps:

1) Download the app from Google Play Store or App Store: SkinVision.

2) Register with the requested data.

3) Check if the camera is working properly.

4) Perform checks as indicated in the application instructions using the camera.

5) Results come via email with recommendations according to the evaluation results.