Clinical trials: Fundus Photography
Diabetes Mellitus, Glaucoma
Smartphone Screening for Eye Diseases
To validate new screening instruments for eye disease, increase eye care access in underserved communities, and provide a scientifically implemented method to set up programs for eye disease screening.
- Conditions
- Diabetes Mellitus, Glaucoma, Age Related Macular Degeneration, ROP
- Trial name
- NCT03076697
- Testing
- Fundus photography
- Volunteers
- 472 people
- Sponsor
- University of Michigan
Deep Learning, Retinal Diseases
AI Classifies Multi-Retinal Diseases
The objective of this study is to establish deep learning (DL) algorithm to automatically classify multi-diseases from fundus photography and differentiate major vision-threatening conditions and other retinal abnormalities.
- Trial name
- NCT04592068
- Testing
- Retinal multi-diseases diagnosed by DL algorithm, Retinal multi-diseases diagnosed by expert panel
- Where
- China
- Volunteers
- 10,000 people
- Sponsor
- Beijing Tongren Hospital
Diabetic Retinopathy, Age Related Macular Degeneration
AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma
The purpose of this multi-center study is to evaluate the extent to which AI-assisted fundus image interpretation improves the diagnostic performance of ophthalmologists.
- Conditions
- Diabetic Retinopathy, Age Related Macular Degeneration, Retinal Vein Occlusion, Glaucoma
- Trial name
- NCT07318428
- Testing
- VUNO Med-Fundus AI
- Where
- 5 sites in South Korea
- Volunteers
- 10 people
- Sponsor
- Inje University