Predicting ROP Severity by Artificial Intelligence: Pragmatic Versus Knowledge-Based Approach

Retinopathy of prematurity (ROP) blindness is largely preventable, with many countries having already established programs for its timely identification. However, ∼93% of infants screened do not develop ROP severe enough to require treatment.1 As reported in this issue ofPediatrics by Coyner et al.2 artificial intelligence (AI) is innovative methodology to optimize the timing of ROP examinations. For example, it can predict whether an eye will not require treatment, reducing the number of examinations needed while also predicting which eyes need closer surveillance. This is an important development because it would make ROP programs more effective and efficient, thus reducing the burden on infants, families, and the health care team.
Source: PEDIATRICS - Category: Pediatrics Source Type: research