LAUSR

Retinopathy of prematurity (ROP) is usually a disease of extremely premature babies. In developing nations like ours, improvement in neonatal care has led to survival of the premature babies, while inadequate ROP screening infrastructure has been unable to provide the care needed to all these premature babies, resulting in the third ROP epidemic.[1] In India, only about 1% of ophthalmologists are engaged in ROP care, creating an unmet need.[2] Telemedicine has been used to address this mismatch between the disease magnitude and care providers. Digital retinal images taken during telescreening have also opened the doors for objective, quantitative, and automated analysis of images using software innovations. In this article, the authors have presented one such way of quantitative analysis that can be used to predict the need for treatment in ROP.[3]