The commercial future of the test is uncertain, but one of its developers said that work to develop it demonstrates even mature technologies can have new clinical value.
Following validation, the approach, which uses a deep convolutional neural network trained with almost 130,000 clinical images, could be developed into a smartphone app to detect skin cancer early.
