Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most
cases are seen instead by general practitioners with lower diagnostic accuracy. We present …

Importance Most dermatologic cases are initially evaluated by nondermatologists such as
primary care physicians (PCPs) or nurse practitioners (NPs). Objective To evaluate an …

Dermatological conditions are a relevant health problem. Machine learning (ML) models are
increasingly being applied to dermatology as a diagnostic decision support tool using image …

Present-day dermatological diagnostic tools are expensive, time-consuming, require
substantial operational expertise, and typically probe only the superficial layers of skin (~ 15 …

Importance Hidradenitis suppurativa (HS) is a chronic cutaneous disease with acutely
painful flares that require appropriate and timely treatment. Objective To assess how …

Modern neural networks are pushing the boundaries of medical image classification. For
some tasks in dermatology, state of the art models are able to beat human experts in terms …

Convolutional Neural Networks (CNNs) have the potential to assist medical doctors in
diagnosis and treatment stage. This paper has been prepared to help dermatologists by …

Objective We sought to determine the outpatient visit rates for the five most common skin
conditions among dermatologists and non-dermatologists. Methods We conducted a …

Comfort in diagnosing common skin conditions is important for primary care providers and
was addressed in a previous article in this journal. 1, 2 Conveniently, many skin conditions …

PURPOSE Ongoing care for patients with skin diseases can be optimized by understanding
the incidence and population prevalence of various skin diseases and the patient-related …