Abstract Background General practitioners (GPs) are playing a key role in skin cancer
screening. Non-melanoma skin cancer is frequent and difficult to diagnose. Objectives We …

Background Artificial intelligence (AI) is increasingly being used in medical practice.
Especially in the image-based diagnosis of skin cancer, AI shows great potential. However …

Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the
diagnosis of skin cancers. Commercially available AI diagnostic software is entering markets …

Background: Artificial intelligence (AI) has recently surfaced as a research topic in
dermatology and dermatopathology. In a recent survey, dermatologists were overall positive …

Background Convolutional neural networks (artificial intelligence, AI) are rapidly appearing
within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As …

Opinion statement The development and implementation of artificial intelligence is
beginning to impact the care of dermatology patients. Although the clinical application of AI …

Background Diagnosis of skin cancer requires medical expertise, which is scarce. Mobile
phone-powered artificial intelligence (AI) could aid diagnosis, but it is unclear how this …

Artificial intelligence (AI) algorithms have been shown to diagnose skin lesions with
impressive accuracy in experimental settings. The majority of the literature to date has …

Background: Artificial intelligence (AI) has shown promise in numerous experimental
studies, particularly in skin cancer diagnostics. Translation of these findings into the clinic is …

In the past, the skills required to make an accurate dermatological diagnosis have required
exposure to thousands of patients over many years. However, in recent years, artificial …