This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We
focus our discussion on methodology, AI applications for various skin diseases, limitations …

Each year, one million Cryptococcal infections occur among people living with HIV/AIDS,
resulting in nearly 625,000 fatalities due to low efficiency of clinical diagnostic procedures …

Most individuals, especially young people, are obsessed with taking and sharing selfies
online. In the age of TikTok, Facebook, and Instagram, people earn money with exceptional …

Introduction Acne detection is critical in dermatology, focusing on quality control of acne
imagery, precise segmentation, and grading. Traditional research has been limited, typically …

Skin issues have been a colossal concern among ladies as well as men. This paper
proposes a strategy for recognizing and classifying skin breaks out on the skin using CNN …

Functional tissue Units (FTUs) are cell population neighborhoods local to a particular organ
performing its main function. The FTUs provide crucial information to the pathologist in …

In recent years, large strides have been taken in developing machine learning methods for
dermatological applications, supported in part by the success of deep learning (DL). To date …

The most common skin problem, acne vulgaris, may have serious financial and
psychological implications for individuals who have it, thus it's crucial to have an accurate …

Millions of people worldwide suffer from acne, a common dermatological ailment that
frequently causes both physical and psychological discomfort. The prevalence of acne, a …

In this study, we investigated a deep-learning method for visualizing Cutibacterium acnes
(C. acnes) in facial photographs taken with visible-light irradiation. We used a …