Scientific research of artificial intelligence (AI) in dermatology has increased exponentially.
The objective of this study was to perform a systematic review and meta-analysis to evaluate …

Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …

Melanoma skin cancer is one of the most dangerous types of skin cancer, which, if not
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …

Background The field of oncology is at the forefront of advances in artificial intelligence (AI)
in health care, providing an opportunity to examine the early integration of these …

Owing to the deficiency of training data, the variety of skin lesion shapes for different
patients, inter-class similarity, and intra-class variation, the recognition accuracy and speed …

Dermatologists often diagnose or rule out early melanoma by evaluating the follow-up
dermoscopic images of skin lesions. However, existing algorithms for early melanoma …

Abstract Purpose of Review The purpose was to summarize the current role and state of
artificial intelligence and machine learning in the diagnosis and management of melanoma …

Artificial intelligence (AI) algorithms for skin lesion classification have reported accuracy at
par with and even outperformance of expert dermatologists in experimental settings …

Clinical dermatoscopy and pathological slide assessment are essential in the diagnosis and
management of patients with cutaneous melanoma. For those presenting with stage IIC …

Skin cancer is one of the most threatening cancers, which spreads to the other parts of the
body if not caught and treated early. During the last few years, the integration of deep …