Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images

Running, not enrolling

Conditions studied: Diabetic Retinopathy, Diabetic Macular Edema

In brief

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 facts

Study ID
NCT03694145
Run by
Charles Drew University of Medicine and Science
People needed
300
Starts
2018-10-25
Expected to finish
2025-07-31
Last updated by the study team
2025-02-14

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.