Artificial intelligence detects 134 skin diseases based on photos on a smartphone

Scientists from Seoul National University (South Korea) have taught artificial intelligence to diagnose skin diseases from photos. In order to create the diagnostic algorithm, specialists have introduced 220 thousand images with various skin diseases into the computer and taught neural networks to interpret them. 

Programs to diagnose skin diseases were developed earlier, but they could only solve specific binary problems, such as determining whether the disease is benign or malignant. The new algorithm is very powerful and can recognize 134 skin diseases and even provide general recommendations for their treatment. 

Experts have tested how the cooperation with the new algorithm of qualified dermatologists will affect the probability of making the right diagnosis. It turned out that the "teamwork" with artificial intelligence has increased the accuracy of diagnosis in dermatologists from 77.4 to 86.8%. 

The algorithm was also tested on people with no medical education. Participants in the study assumed whether the pigmented skin formation is malignant or benign, and were wrong in more than half of the cases. This means that when faced with such a tumor in real life, a person will not go to a doctor. Specialists believe that the developed algorithm will not only improve the work of doctors, but also increase the possibility of early treatment of patients  with malignant skin tumors.

April 3, 2020, 11:55 a.m.

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