Artificial intelligence is poised to rapidly reshape many fields, including that of skin cancer
screening and diagnosis, both as a disruptive and assistive technology. Together with the …

The field of skin cancer detection offers a compelling use case for the application of artificial
intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis …

Recent advances in artificial intelligence (AI) in dermatology have demonstrated the
potential to improve the accuracy of skin cancer detection. These capabilities may augment …

Artificial Intelligence (AI) has surpassed dermatologists in skin cancer detection, but
dermatology still lags behind radiology in its broader adoption. Building and using AI …

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

Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine
and is increasingly being applied to dermatology. There is a need to understand this …

Purpose To review recent developments in artificial intelligence for skin cancer diagnosis.
Recent Findings Major breakthroughs in recent years are likely related to advancements in …

A substantial body of research has been published in artificial intelligence due to the rising
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …

Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …

Background The use of artificial intelligence (AI) for skin cancer assessment has been an
emerging topic in dermatology. Leadership of dermatologists is necessary in defining how …