In recent years, there has been a significant improvement in the accuracy of the
classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent …

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 …

Background Skin cancer is one of the most common forms worldwide, with a significant
increase in incidence over the last few decades. Early and accurate detection of this type of …

Skin cancer is one of the most dangerous diseases in the world. As per the American
Cancer Society, about 99,780 new melanomas will be diagnosed in the United States and …

The application of artificial intelligence (AI) algorithms in medicine could support diagnostic
and prognostic analyses and decision making. In the field of dermatopathology, there have …

The growing incidence of skin cancers, coupled with low awareness among the population
fuels interest in developing computer-assisted diagnostics solutions for skin cancer …

Artificial intelligence (AI) based on machine learning and convolutional neuron networks
(CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer …

Artificial intelligence (AI) has emerged as a transformative tool in various medical fields. It is
especially prevalent in dermatology, particularly in the early detection and diagnosis of skin …

In recent years, there has been growing interest in the use of computer-assisted technology
for early detection of skin cancer through the analysis of dermatoscopic images. However …

Recently, there has been great interest in developing Artificial Intelligence (AI) enabled
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …