Diagnostic Accuracy of the EyeArt Artificial Intelligence System for Diabetic Retinopathy: A Systematic Review and Meta-Analysis
EyeArt® demonstrates high diagnostic accuracy for detecting any-grade and referable DR across diverse clinical and geographical settings. Its integration into DR screening programs could improve early detection, optimize healthcare resource allocation, and expand access to ophthalmic care, particularly in resource-limited environments.
Authors
- Isabel Inmaculada Guedes Guedes
- Ángel Ramos de Miguel
- Ángel Ramos Macías
- Ayoze González Hernández
- Francisco Sotomayor López
- Pedro Saavedra Santana
Institutions
- Universidad de Las Palmas de Gran Canaria (ES)
- Hospital Universitario Insular de Gran Canaria (ES)
- Universidad Fernando Pessoa Canarias (ES)
- Hospital Universitario de Gran Canaria Doctor Negrín (ES)
Publication Details
- Journal
- Ophthalmologica
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1159/000550443
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00