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Artificial Intelligence-assisted Diagnosis in Ophthalmology
Sponsor: Marisse Masis-Solano
Summary
This is a retrospective, multicenter, observational study designed to develop and validate an artificial intelligence (AI) system capable of detecting and classifying major ophthalmic diseases (glaucoma, cataract, diabetic retinopathy, and other retinal pathologies) in the Costa Rican population. The study will use approximately 15,000 existing medical images from digital archives of two ophthalmic centers in Costa Rica, without active participant recruitment or capture of new images. The primary motivation is that AI systems developed in other countries (primarily Asian, European, or North American populations) do not necessarily perform with the same accuracy when applied to Latin American populations. This study seeks to establish a precedent for the importance of locally validating any medical AI technology before clinical implementation.
Official title: Development and Validation of an Artificial Intelligence-assisted Diagnostic System for Ophthalmic Pathologies
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
15000
Start Date
2026-05-01
Completion Date
2029-05-01
Last Updated
2026-04-01
Healthy Volunteers
Yes
Interventions
No interventions
This retrospective observational study involves no therapeutic interventions, no treatment modifications, no patient contact, and no comparison groups. It is purely diagnostic technology development and validation using existing historical data.
Locations (2)
Centro Ocular
Heredia, Centro, Costa Rica
Asociados de Mácula y Vítreo de Costa Rica
San José, Provincia de San José, Costa Rica