At the National Center for Maternal and Child Health (NCMCH), clinicians have begun using assistive AI to help detect retinopathy of prematurity (ROP), a sight‑threatening condition that can progress quickly if not identified and treated early. Among the first babies screened were twins, Ariunnandin and Ariunbaatar, born prematurely and cared for in the hospital’s neonatal intensive care unit.
Retinopathy of prematurity affects babies born too early, when the blood vessels in the retina have not fully developed. If ROP is not detected in time, it can lead to irreversible vision loss or blindness.
Early screening makes treatment possible—but in many countries, there are too few trained specialists to examine every at‑risk baby. This is where technology can help. By supporting doctors to review retinal images more quickly and consistently, AI can play an important role in expanding access to timely ROP screening.