The use of artificial intelligence (AI) and big data in medicine has increased in recent years.
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …

With the rising incidence of cancer-related mortality, new enabling technologies are
necessary to offer comprehensive molecular profiles of patients in order to assist clinicians …

Human skin cancer is the most common and potentially life-threatening form of cancer.
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …

Skin cancer is a significant health concern worldwide, and early and accurate diagnosis
plays a crucial role in improving patient outcomes. In recent years, deep learning models …

Variations in the size and texture of melanoma make the classification procedure more
complex in a computer-aided diagnostic (CAD) system. The research proposes an …

Simple Summary Artificial intelligence (AI) has shown promise in detecting and diagnosing
nonmelanoma skin cancer through image analysis. The incidence of skin cancer continues …

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 …

Simple Summary Non-melanoma skin cancer is one of the most common cancer diagnoses
in the world, and cases are rising globally. Consequently, novel technology to aid in …

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

Skin cancer treatment is a core aspect of dermatology that relies on accurate diagnosis and
timely interventions. Teledermatology has emerged as a valuable asset across various …