RecruitingType 1 DiabetesType 2 DiabetesCystic Fibrosis-related Diabetes
ACCESS 2: AI for pediatriC diabetiC Eye examS Study 2
Eligible age
8–21 yrs
Accepts
All genders
Locations
1 state
Healthy volunteers
No
See if you qualify for this study
Answer a few quick questions about your location and health. Takes about a minute.
About this study
The purpose of this study is to determine if use of a nonmydriatic fundus camera using autonomous artificial intelligence software at the point of care increases the proportion of underserved youth with diabetes screened for diabetic retinopathy, and to determine the diagnostic accuracy of the autonomous AI system in detecting diabetic retinopathy from retinal images of youth with diabetes.
Sponsor: Johns Hopkins University
You may qualify if…
- ✓ Meets American Diabetes Association (ADA) criteria for diabetic retinopathy screening:
- ✓ Diagnosis of Type 1 diabetes for ≥3 years, and age 11 or in puberty
- ✓ Diagnosis of Type 2 diabetes
- ✓ Enriched cohort:
- ✓ Patients with Type 1 or Type 2 diabetes,
- ✓ 8-21 years of age with known diabetic retinopathy (true positives).
- ✓ No time limit on last diabetic eye exam.
You may not qualify if…
- ✕ Known diabetic eye exam in the last 12 months
Where it's recruiting
Maryland
Baltimore
Source: ClinicalTrials.gov · NCT05463289 · last updated 2026-03-27