About the cover
The cover shows how the detection of skin cancer could be simplified and extended by using artificial intelligence. Andre Esteva et al. used 129,450 clinical images of skin disease to train a deep convolutional neural network to classify skin lesions. The result is an algorithm that can classify lesions from photographic images similar to those taken with a mobile phone. The accuracy of the system in detecting malignant melanomas and carcinomas matched that of trained dermatologists. The authors suggest that the technique could be used outside the clinic as a visual screen for cancer. Cover: Dejapong I. Suwaratana & Uri Tzarnotzky.