Background Previous studies of artificial intelligence (AI) applied to dermatology have shown
AI to have higher diagnostic classification accuracy than expert dermatologists; however, …

The primary cause of the increase in melanoma incidence in the United States has been
suggested to be overdiagnosis. We used Surveillance, Epidemiology, and End Result Program …

Background Immune checkpoint inhibitors (ICIs) are approved to treat multiple cancers.
Retrospective analyses demonstrate acceptable safety of ICIs in most patients with autoimmune …

The use of artificial intelligence (AI) has the potential to improve the assessment of lesions
suspicious of melanoma, but few clinical studies have been conducted. We validated the …

Background and Methods The Melanoma Institute of Australia (MIA) and Memorial Sloan
Kettering Cancer Center (MSKCC) nomograms were developed to help guide sentinel lymph …

A recent study [1] showed that individual physicians with at least ten years of experience as
dermatologists achieved 74.7% accuracy on average in labeling images from the multiclass …

Tertiary lymphoid structures (TLS) are specialized lymphoid formations that serve as local
repertoire of T- and B-cells at sites of chronic inflammation, autoimmunity, and cancer. While …

On the basis of the clinical impression and current knowledge, acquired melanocytic nevi
and melanomas may not occur in random localizations. The goal of this study was to identify …

Background Nasal scarring can compromise aesthetics and function given its complex three-dimensional
structure and central location. This study aimed to measure patients’ …

Histopathology for tumor margin assessment is time‐consuming and expensive. High‐resolution
full‐field optical coherence tomography (FF‐OCT) images fresh tissues rapidly at …