Condition: Type 1 Diabetes · Type 2 Diabetes · Cystic Fibrosis-related Diabetes · Sponsor: Johns Hopkins University
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.
This description comes directly from the study's public registry record.
Risa M Wolf, MD · 4109556463 · RWolf@jhu.edu
Alvin Liu, MD · tliu25@jhmi.edu
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| Johns Hopkins Pediatric Diabetes Center | Baltimore, Maryland, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT05463289