Non-invasive screening for laryngeal cancer using the oral cavity as a proxy for differentiation of laryngeal cancer versus leukoplakia: A novel application of ESS technology and artificial intelligence supported statistical modeling.

Objective: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscopy (ESS) measurements obtained in the oral cavity can be used as a proxy to accurately differentiate between patients with laryngeal cancer versus laryngeal leukoplakia.

Methods: 20 patients with laryngeal lesions [cancer (n = 10),leukoplakia (n = 10)] were clinically assessed and categorized by otolaryngologists per standard clinical practice. Patient demographics of age, race, sex, and smoking history were collected.

Use of an elastic-scattering spectroscopy and artificial intelligence device in the assessment of lesions suggestive of skin cancer: A comparative effectiveness study.

Background: Skin cancer is the most common form of cancer worldwide. As artificial intelligence (AI) expands its scope within dermatology, leveraging technology may aid skin cancer detection.

Objective: To assess the safety and effectiveness of an elastic-scattering spectroscopy (ESS) device in evaluating lesions suggestive of skin cancer.

Still disease with persistent atypical dermatomyositis-like skin eruption: two cases associated with macrophage activation syndrome.

The typical rash of Still disease is an asymptomatic, salmon-coloured, macular, or maculopapular eruption that appears along with the fever spikes and fades when the body temperature drops. Although not included in the diagnostic criteria, there are other frequent, persistent, pruritic and polymorphic skin manifestations of Still disease that have distinctive clinical features and specific histological findings. Among these atypical persistent pruritic eruptions (PPEs), periorbital erythema and linear flagellate papules and plaques can resemble the cutaneous manifestations of dermatomyositis (DM).