Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP.

ABSTRACT:

Purpose

Retinopathy of prematurity (ROP) is a sight-threatening vasoproliferative retinal disease affecting premature infants. The detection of plus disease, a severe form of ROP requiring treatment, remains challenging owing to subjectivity, frequency, and time intensity of retinal examinations. Recent artificial intelligence (AI) algorithms developed to detect plus disease aims to alleviate these challenges; however, they have not been tested against a diverse neonatal population. Our study aims to validate ROP.AI, an AI algorithm developed from a single cohort, against a multicenter Australian cohort to determine its performance in detecting plus disease.

Methods

Retinal images captured during routine ROP screening from May 2021 to February 2022 across five major tertiary

SUBMITTER: Bai A 

PROVIDER: S-EPMC10431208 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature