AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings.

ABSTRACT:

Importance

Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness worldwide. If detected and treated early, ROP-associated blindness is preventable; however, identifying patients who might respond to treatment requires screening over time, which is challenging in low-resource settings where access to pediatric ophthalmologists and pediatric ocular imaging cameras is limited.

Objective

To develop and assess the performance of a machine learning algorithm that uses smartphone-collected videos to perform retinal screening for ROP in low-resource settings.

Design, setting, and participants

This diagnostic study used smartphone-obtained videos of fundi in premature neonates with and without ROP in Mexico and Argentina between May 12, 2020,

SUBMITTER: Ortiz A 

PROVIDER: S-EPMC12042057 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature