Objective: Skin diseases constitute a widespread health concern, and the application of
machine learning and deep learning algorithms has been instrumental in improving …

Skin cancer is a serious health condition, as it can locally evolve into disfiguring states or
metastasize to different tissues. Early detection of this disease is critical because it increases …

Skin diseases are among the most common and widespread diseases affecting people
around the world. Global warming and climate change are the two main factors leading to …

INTRODUCTION To detect early cognitive impairment in community‐dwelling older adults,
this study explored the viability of artificial intelligence (AI)‐assisted linear acceleration and …

Skin diseases are numerous in types and high in incidence, posing a serious threat to
human health. Accurately assessing the severity of skin diseases helps dermatologists in …

Background: Current prognostic models have limited predictive abilities for the growing
number of localized (stage I–III) ccRCCs. It is, therefore, crucial to explore novel …

The increasing incidence of and resulting deaths associated with malignant skin tumors are
a public health problem that can be minimized if detection strategies are improved …

Although deep-learning detection methods are widely used in power systems, there is still
potential for improvement in the efficiency and automation of oil leak detection in substation …

Skin cancer, a leading cause of global mortality with 10 million deaths annually, is projected
to increase rapidly if not diagnosed early. Traditional diagnosis relies on visual evaluation …

Slin diseases are disorders that affect the tissues of the human skin. The common skin
disease includes eczema, psoriasis, acne, moles and various fungal infections. Skin …