Researchers at Stanford University in California have trained a neural network with artificial intelligence to detect skin cancer by looking at pictures. The results of this study Nature Published in the journal and also published a post on the Stanford University blog Done.

The study used an image recognition algorithm from Google. With the help of this algorithm, the artificial intelligence system first analyzed 1,29,450 images of different people’s skin, including more than 2,000 different skin conditions. ঐ Neural networks have been able to analyze them and give the expected accurate results about harmful and non-harmful skin conditions.

After that, the research team analyzed some such pictures by 21 dermatologists. The results are the same for both software and human physicians. The Stanford research team believes that this artificial intelligence neural network can be created in the form of a mobile app and then skin cancer can be detected by taking pictures of the skin with the help of a mobile phone camera and analyzing the skin condition.

Of course, it is not coming to mobile right now. Because it needs more monitoring and development. Government permission will also be required to make such an app open to the public. However, it can be said that artificial intelligence will change people’s future lives.