Differentiating seborrheic keratosis from melanoma among lesions exhibiting blue-white veil: A retrospective study.

Background: Differentiating melanoma (MM) from seborrheic keratosis (SK) containing a blue-white veil (BWV) remains challenging.

Objective: Identify dermoscopic features that can improve upon the differentiation between MMs and SKs exhibiting BWV.

Methods: Images from 110 MMs and 121 SKs containing BWV were aggregated, and 91 MMs and 62 SKs from this data set had complete agreement on the presence of BWV according to 3 expert dermoscopists.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma.

Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet often lack precise, domain-specific explanations. Moreover, the impact of XAI methods on dermatologists' decisions has not yet been evaluated.

Topographical and Chronological Analysis of Thin Cutaneous Melanoma's Progressions: A Multicentric Study.

A great portion of cutaneous melanoma's diagnoses nowadays is attributed to thin tumors with up to 1 mm in Breslow thickness (hereafter thin CMs), which occasionally metastasize. The objective of this study was to identify thin CM's metastatic patterns from a topographical and chronological standpoint. A total of 204 cases of metastatic thin CMs from five specialized centers were included in the study, and corresponding data were collected (clinical, epidemiological, histopathological information of primary tumor and the number, anatomical site, and time intervals of their progressions).