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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
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07236879
Acronym
AID-DR
Enrollment
922
Registered
2025-11-19
Start date
2024-08-08
Completion date
2026-12-31
Last updated
2025-11-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetic Retinopathy

Keywords

screening, diabetic retinopathy, artificial intelligence

Brief 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.

Interventions

DIAGNOSTIC_TESTMobile retinography interpreted by artificial intelligence

All 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 ophthalmologists

All 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.

Sponsors

Fundação de Amparo à Pesquisa do Estado de São Paulo
CollaboratorOTHER_GOV
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Brazil
CollaboratorOTHER
TelessaúdeRS / UFRGS
CollaboratorUNKNOWN
Hospital de Clinicas de Porto Alegre
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Intervention model description

The AID-DR trial is designed as a randomized, controlled, double-blinded, non-inferiority trial with two parallel groups and a primary endpoint of adequate referrals to specialized care. Randomization will be performed in a 1:1 ratio using variable block sizes.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults (\> 18 years old) diagnosed with diabetes mellitus who agree to participate in the study.

Exclusion criteria

* Any contraindication for pharmacological mydriasis (such as knowledge of having closed-angle glaucoma, pregnancy). * Life expectancy less than 6 months

Design outcomes

Primary

MeasureTime frameDescription
Number of appropriate referrals to ophthalmologistThrough study completion, an average of 1 yearAppropriate referrals: asymptomatic patients with moderate to severe nonproliferative DR, proliferative DR, significant macular edema, and uninterpretable exams. This data will be obtained by reviewing the medical records of ophthalmological in-person consults of included patients.

Secondary

MeasureTime frameDescription
Number of patients referred for laser sessionsThrough study completion, an average of 1 yearConsidering only patients referred for argon laser sessions aiming retinal photocoagulation for the treatment of diabetic retinopathy. This data will be obtained through access to the medical records of patients referred for specialized care.
Number of pharmacological intraocular treatmentThrough study completion, an average of 1 yearConsidering treatment with anti-VEGF drugs or intravitreal corticosteroids for the treatment of diabetic retinopathy and diabetic macular edema. This data will be obtained through access to the medical records of patients referred for specialized care.
Referral failureAfter study completion, an average of 15 monthsScreening with false negative result. This data will be obtained by an independent ophthalmologist review of all images of the not referred patients.

Countries

Brazil

Contacts

Primary ContactBeatriz D Schaan, MD, PhD
bschaan@hcpa.edu.br+55 51 3359-8127

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026