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ACCESS 2: AI for pediatriC diabetiC Eye examS Study 2
Sponsor: Johns Hopkins University
Summary
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.
Official title: Implementing Digital Retinal Exams Into Comprehensive Pediatric Diabetes Care
Key Details
Gender
All
Age Range
8 Years - 21 Years
Study Type
INTERVENTIONAL
Enrollment
500
Start Date
2022-07-11
Completion Date
2026-06-30
Last Updated
2026-03-27
Healthy Volunteers
No
Interventions
Point of Care Autonomous AI diabetic retinopathy exam
Participants will undergo point-of-care diabetic retinopathy screening using autonomous artificial intelligence software to interpret retinal images taken with a non-mydriatic fundus camera and providing an immediate result.
Locations (1)
Johns Hopkins Pediatric Diabetes Center
Baltimore, Maryland, United States