Evaluation of the degree of agreement in the diagnosis of diabetic retinopathy between ophthalmologists and EyeArt^®.

ABSTRACT:

Objective or purpose

To evaluate the diagnostic performance and agreement of the EyeArt^® Artificial Intelligence (AI) system for detecting Diabetic Retinopathy (DR), comparing its results with ophthalmologists' assessments in a regional screening program.

Design

Cross-sectional observational study.

Subjects, participants, and/or controls

A total of 498 diabetic patients aged 18 years or older were enrolled between June and September 2023 through the Retisalud DR screening program in the Canary Islands. No separate control group was included.

Methods

All participants underwent non-mydriatic fundus photography using the TRC-NW400 camera. Retinal images were analyzed by the EyeArt^® AI system (version 2.1.0), and results were compared with ass

SUBMITTER: Guedes IIG 

PROVIDER: S-EPMC12628637 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature