Machine learning algorithm to prevent skin cancer. The insights that convolutional neural networks (CNNs) provide, help medical professionals to notice health issues of their patients on time and more accurately. CNNs identified melanoma disease in dermatology images with more accuracy than experts. It is a algorithm which send the image to a server which gives back an output with the probability (expressed by a range of numbers) of having a cancer. After the doctor reads the result and takes the final decision. Intended use: CNN software trained to detect melancoma.