“The CNN [convolutional neural network] missed fewer melanomas, meaning it had a higher sensitivity than the dermatologists, and it misdiagnosed fewer benign moles as malignant melanoma, which means it had a higher specificity,” Haenssle said. “This would result in less surgery.”