Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity.

ABSTRACT:

Purpose

To evaluate whether providing clinicians with an artificial intelligence (AI)-based vascular severity score (VSS) improves consistency in the diagnosis of plus disease in retinopathy of prematurity (ROP).

Design

Multireader diagnostic accuracy imaging study.

Participants

Eleven ROP experts, 9 of whom had been in practice for 10 years or more.

Methods

RetCam (Natus Medical Incorporated) fundus images were obtained from premature infants during routine ROP screening as part of the Imaging and Informatics in ROP study between January 2012 and July 2020. From all available examinations, a subset of 150 eye examinations from 110 infants were selected for grading. An AI-based VSS was assigned to each set of images using the i-ROP DL system (Siloam Vision). Th

SUBMITTER: Coyner AS 

PROVIDER: S-EPMC11499038 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature