A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis.

Scientific research of artificial intelligence (AI) in dermatology has increased exponentially. The objective of this study was to perform a systematic review and meta-analysis to evaluate the performance of AI algorithms for skin cancer classification in comparison to clinicians with different levels of expertise. Based on PRISMA guidelines, 3 electronic databases (PubMed, Embase, and Cochrane Library) were screened for relevant articles up to August 2022.

[Scrofuloderma, cutaneous and pulmonary tuberculosis associated with COVID-19. Report of one case].

Cutaneous tuberculosis represents 1-1.5% of extrapulmonary tuberculosis, including a variety of clinical conditions. Scrofuloderma and lupus vulgaris are the most common forms.

[Hospital discharges due to Stevens-Johnson syndrome and toxic epidermal necrolysis in Chile from 2001 to 2015].

Background: Stevens-Johnson Syndrome (SSJ) and Toxic Epidermal Necrolysis (NET) are infrequent and life-threatening mucocutaneous diseases, which occur predominantly as adverse drug reactions.

Aim: To describe the frequency of SSJ and NET diagnoses at a national level, estimate their incidence and describe their distribution among the different regions of the country.

Material And Methods: Analysis of hospital discharge databases available at the website of the Chilean Ministry of Health searching for the tenth version of the International Classification of Diseases (ICD 10) codes for SSJ or NET, between 2001 and 2015.