AIM in Dermatology

Abstract

In medicine, dermatology is a promising pioneer for the use of artificial intelligence (AI). In dermatological practice, the recognition of visual patterns (morphology) has always been fundamental for making a diagnosis, so artificial intelligence has great potential here. The collection of clinical data, especially image data, is playing an increasingly important role in the diagnosis and therapy of skin disease. Existing analog data archives are being digitized and restructured with great effort, and new data sets are often captured and labeled directly in digital form. During the last years, a growing number of studies have demonstrated AI’s benefits in research settings, and first applications are already used clinically. Particularly in the detection of skin cancer and for the quantification of chronic inflammatory skin diseases, artificial intelligence is supporting doctors as well as patients to find the right diagnosis and treatment. The purpose of this book chapter is to discuss the potential applications of artificial intelligence in various areas of dermatology. \nKeywords \nDermatology Digitization Machine learning Artificial intelligence Deep learning Convolutional neural network Image recognition Pattern recognition Algorithm-based decision-making Skin cancer Psoriasis Eczema Teledermatology Telemedicine