Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence.

Background: Diabetic retinopathy (DR) is a leading cause of blindness. Our objective was to evaluate the performance of an artificial intelligence (AI) system integrated into a handheld smartphone-based retinal camera for DR screening using a single retinal image per eye.

Methods: Images were obtained from individuals with diabetes during a mass screening program for DR in Blumenau, Southern Brazil, conducted by trained operators.

Toxic stress on a pediatric population during the COVID-19 pandemic.

Objective: The aim of this study was to analyze the impact of social isolation as a result of the coronavirus-19 disease (COVID-19) pandemic in children and adolescents aged 0-17 years in Southern Brazil.

Methods: This is a cross-sectional study in which 542 questionnaires answered by parents or legal guardians of children and adolescents aged 0-17 years residing in the Brazilian South region, through Google Forms®. Questionnaires answered incompletely or from children outside the stipulated age group and from other regions of the country were excluded from the research.