ABSTRACT Objective: To evaluate whether an Artificial Intelligence model based on easily accessible perinatal variables can predict congenital ophthalmologic malformations, particularly those whose late detection may lead to preventable blindness. Methods: Retrospective diagnostic accuracy study using the DATASUS database. A total of 6,633 newborns in Brazil (2014 to 2022) were included, with 2,211 congenital ophthalmologic malformations (ICD-10 Q100-Q159) and 4,422 controls. Predictors comprised 14 maternal, obstetric, and neonatal factors; records with missing data were excluded. Logistic regression and support vector […]