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.

Optical Spectroscopy as a Method for Skin Cancer Risk Assessment.

Skin cancer is the most prevalent cancer, and its assessment remains a challenge for physicians. This study reports the application of an optical sensing method, elastic scattering spectroscopy (ESS), coupled with a classifier that was developed with machine learning, to assist in the discrimination of skin lesions that are concerning for malignancy. The method requires no special skin preparation, is non-invasive, easy to administer with minimal training, and allows rapid lesion classification.

Treatment of Schamberg's disease with advanced fluorescence technology.

Schamberg's disease is a pigmented purpuric dermatosis that is generally asymptomatic, however, patients with Schamberg's disease often seek treatment for aesthetic improvement. Many topical and systemic therapies have been tried without consistent results. This case series describes the treatment of five patients with Schamberg's disease of the lower extremities using Advanced Fluorescence Technology (AFT) pulsed light with favorable results.