Abstract
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide, despite the fact that treatment is available, and blindness can be prevented in most cases. There are two key gaps in care delivery. The first is access to care with many parts of the world underserved. The second is subjective diagnosis where the eye exam is challenging, and different clinicians may perceive different levels of severity. Multiple potential indications for use (IFUs) have been proposed for ROP AI algorithms that could impact both gaps in care. In this presentation I will review potential IFUs and the potential translational challenges in implementation.
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