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ACCESS 2: AI for pediatriC diabetiC Eye examS Study 2
Implementing Digital Retinal Exams Into Comprehensive Pediatric Diabetes Care
Who can join
Ages 8 to 21 · All sexes
Full eligibility criteria
Inclusion Criteria: 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. Exclusion Criteria: * Known diabetic eye exam in the last 12 months
About the 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.
What is being tested
- Point of Care Autonomous AI diabetic retinopathy exam (diagnostic test)
Sponsor: Johns Hopkins University · Participants: 500 · Started: Jul 11, 2022
Contact the study team
- Risa M Wolf, MD · Phone: 4109556463
Official record on ClinicalTrials.gov — NCT05463289
Locations in the U.S.
| Maryland | Johns Hopkins Pediatric Diabetes Center, Baltimore |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.