Clinical Trials Directory

Trials / Recruiting

RecruitingNCT07236879

Artificial Intelligence for Diagnosing Diabetic Retinopathy in Primary Care

Effects of Artificial Intelligence-based Diabetic Retinopathy Screening on Timely Access to Treatment in Individuals With Diabetes

Status
Recruiting
Phase
N/A
Study type
Interventional
Enrollment
922 (estimated)
Sponsor
Hospital de Clinicas de Porto Alegre · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

Summary

This is a clinical trial to evaluate the effects of universal screening for diabetic retinopathy (DR) and diabetic macular edema (DME) using artificial intelligence (AI) in the interpretation of fundus photographs obtained by trained nursing assistant using a portable fundus camera in a primary care setting, compared with images obtained by the same method, but interpreted by ophthalmologists.

Conditions

Interventions

TypeNameDescription
DIAGNOSTIC_TESTMobile retinography interpreted by artificial intelligenceAll participants will undergo mobile retinal photography in primary care by a trained nursing assistant. If randomized to RDIA group, their photos will be analyzed by artificial intelligence.
DIAGNOSTIC_TESTMobile retinography interpreted by ophthalmologistsAll participants will undergo mobile retinal photography in primary care by a trained nursing assistant. If randomized to RDOF group, their photos will be interpreted remotely by ophthalmologists.

Timeline

Start date
2024-08-08
Primary completion
2026-08-01
Completion
2026-12-01
First posted
2025-11-19
Last updated
2025-11-19

Locations

1 site across 1 country: Brazil

Source: ClinicalTrials.gov record NCT07236879. Inclusion in this directory is not an endorsement.