Artificial intelligence (AI) solutions for skin cancer diagnosis continue to gain momentum,
edging closer towards broad clinical use. These AI models, particularly deep-learning …

We have reviewed the current literature focused on the role of artificial intelligence (AI) for
underserved populations and health equity in dermatology. Studies evaluating the utility and …

Skin cancer has a significant impact on the lives of many individuals annually and is
recognized as the most prevalent type of cancer. In the United States, an estimated annual …

Monkeypox (mpox) virus has become a “public health emergency of international concern”
in the last few months, as declared by the World Health Organization, especially for low …

Artificial intelligence (AI) stands to improve healthcare through innovative new systems
ranging from diagnosis aids to patient tools. However, such “Health AI” systems are …

Generative artificial intelligence (AI) can induce a variety of biases that can impact decision-
making processes, and it can produce inaccurate or distorted information that may harm …

Background Patient-facing websites serve as essential platforms for disseminating
information, engaging with patients, and increasing access to neurosurgical resources and …

This study explores machine learning's role in multicultural education, identifying benefits
and challenges, and offering practical recommendations for effective implementation. It aims …

Abstract Purpose of this Review Artificial intelligence (AI) refers to a technology in which a
machine is able to perform a task simulating human intelligence. This review aims to …

Addressing representation issues in dermatological settings is crucial due to variations in
how skin conditions manifest across skin tones, thereby providing competitive quality of care …