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Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images
Sponsor: Charles Drew University of Medicine and Science
Summary
The objective of this study is to compare the results of a deep learning approach to diabetic retinopathy assessment with results from (1) an in-person examination with an ophthalmologist, and (2) the assessments of optometrists involved in a teleretinal screening program.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
300
Start Date
2018-10-25
Completion Date
2025-07-31
Last Updated
2025-02-14
Healthy Volunteers
No
Interventions
In-Person Eye Examination
Dilated in-person eye examination by a board-certified ophthalmologist or retinal fellow.
Locations (3)
Los Angeles Department of Public Health
Los Angeles, California, United States
University of California - Los Angeles
Los Angeles, California, United States
Charles R. Drew University of Medicine and Science
Los Angeles, California, United States