Machine learning for disease detection and prediction in retinopathy of prematurity Public Deposited
An estimated one in ten babies, 15 million worldwide, are born prematurely each year — prematurity being a significant risk factor for the development of retinopathy of prematurity (ROP), a potentially-blinding disorder of the retinal vasculature.1–3 Despite the existence of known risk factors and many effective treatment options, ROP remains one of the world’s leading causes of childhood blindness. This is primarily due to a combination of the scarcity of ROP experts and advances in neonatal intensive care units, which have increased the survival rate of younger, smaller infants and, consequently, the incidence and prevalence of ROP.