Neben Big Data ist auch künstliche Intelligenz (KI) einer der Kernbegriffe der digitalen
Revolution, die in den letzten Jahren extrem „gehypt “werden.„In einem wahren …

Artificial intelligence (AI) has arrived in all domains of our existence including medicine. In
dermatology, its use is being pioneered and is projected to grow exponentially. We review …

Background: Software systems using artificial intelligence for medical purposes have been
developed in recent years. The success of deep neural networks (DNN) in 2012 in the …

Introduction: The cutaneous melanoma represents a global healthcare challenge due to its
high lethality and the increasing incidence observed in recent decades. The best strategy to …

The prevalence of skin cancer has increased in several nations worldwide. Due to the
disease's constant rise in the UK, patients and medical professionals now face greater …

In recent years, there has been a significant increase in the level of interest in image
morphology, full-color image processing, image data compression, image recognition and …

Advantages of artificial intelligence (AI): With responsible, safe and successful use of
artificial intelligence (AI), possible advantages in the field of dermato-oncology include the …

Background Automated image classification is a promising branch of machine learning (ML)
useful for skin cancer diagnosis, but little has been determined about its limitations for …

Background Several recent publications have demonstrated the use of convolutional neural
networks to classify images of melanoma at par with board-certified dermatologists …

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 …