Are you looking for an effective way to treat skin lesions, characteristic of acne-prone skin, incl. blemishes, blackheads, enlarged pores? Solutions based on artificial intelligence have a chance to improve the condition of the skin of people with acne and raise their quality of life. The innovative method using the La Roche-Posay application - Effaclar Spotscan - will help in the diagnosis of facial skin and provide care recommendations. Check how to improve the condition of acne-prone skin thanks to an AI-based solution.

About 80% of people struggle with acne. teenagers and as much as 40 percent. adults in the world. This problem leads to lower self-confidence and self-esteem, worse quality of life, and frustration. How to fight acne and check the condition of acne skin?

The modern La Roche-Posay application - Effaclar Spotscan will help in analyzing the skin, recognizing its imperfections and recommending further actions. It is a great addition to treating skin problems and a source of personalized recommendations. We explain the operation of the innovative and groundbreaking La Roche-Posay application for personalized acne diagnosis.

Effaclar Spotscan - the latest technology in cosmetology

One of the modern solutions is the La Roche-Posay Effaclar Spotscan application, which was created thanks to the cooperation of dermatologists from around the world, and its precision has been confirmed by clinical trials. It is a personalized diagnosis of acne skin based on artificial intelligence and an algorithm for quick face scanning.

The application analyzes photos of the face, counts imperfections and determines the severity of acne, i.e. diagnoses the condition of the skin, and recommends personalized advice and complementary actions, e.g. a visit to a dermatologist, recommended treatments to ensure good results and improve skin he alth and the quality of life of acne sufferers.

The task of the application is therefore not only an accurate diagnosis of acne, but also educating people suffering from acne and providing them with a tool that will help determine the severity of the problem, advise on appropriate care, suggest how to improve the condition of acne skin, etc.

On the smartphone screen, you canfollow the progress and expected effects on an ongoing basis after applying the recommended treatment. The "BEFORE / AFTER" simulator shows the expected results and allows you to track the progress of treatments that improve the condition and appearance of the skin.

How to use Effaclar Spotscan?

Author: La Roche-Posay

The modern Effaclar Spotscan application that monitors skin imperfections will tell you what to do with acne. You only need to scan the QR code or visit https://pl.spotscan.com, select "Start Spotscan" and take a selfie. When taking a photo, check "Lighting", "Face Alignment" and "Look Ahead".

If all the icons turn green, this is the best time to take photos - selfie and left and right profile. The application will thoroughly analyze them, find imperfections, distinguish them (blackheads, discolorations, pimples, etc.), and on their basis it will assess the severity of acne.

Acne skin - what to do?

Although the latest technology can significantly increase the chance of obtaining the desired results, proper care is the foundation of acne treatment. How to take care of acne skin? First of all, you should regularly clean your face of all impurities (such as dust, excess sebum, dead skin cells, make-up residues), and then take care of its hydration, peeling, toning and regeneration.

Daily care is the basis of success

In order to achieve the desired results, it is necessary to follow the basic principles of skin care. It is not the easiest one, but it is invaluable. Regularity and consistency are the basis in the fight against acne, and the latest technology - such as Effaclar Spotscan - will improve the results because it allows you to monitor your progress and track changes throughout the year. Get a diagnosis today and learn how to care for your acne face: https://en.spotscan.com//.

Category:

Dermatology