Artificial Intelligence for Diagnosing Diabetic Retinopathy in Primary Care
NCT07236879 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 922
Last updated 2025-11-19
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
- DIAGNOSTIC_TEST
-
Mobile 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_TEST
-
Mobile 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 & Collaborators
-
Fundação de Amparo à Pesquisa do Estado de São Paulo
collaborator OTHER_GOV -
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Brazil
collaborator OTHER -
TelessaúdeRS / UFRGS
collaborator UNKNOWN -
Hospital de Clinicas de Porto Alegre
lead OTHER
Principal Investigators
-
Beatriz D Schaan, MD, PhD · Hospital de Clínicas de Porto Alegre
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- QUADRUPLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-08-08
- Primary Completion
- 2026-08-31
- Completion
- 2026-12-31
Countries
- Brazil
Study Locations
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