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Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy
Sponsor: Zhejiang University
Summary
This study plans to compare the accuracy of artificial intelligence (AI)-assisted fundus images with other ophthalmic devices such as optical coherence tomography (OCT) and fundus fluorescence angiography (FFA) in the diagnosis of diabetic retinopathy and diabetic macular edema.
Official title: A Comparative Analysis of the Diagnostic Outcomes of Artificial Intelligence-assisted Fundus Photography for Diabetic Retinopathy and Diabetic Macular Edema Versus Other Imaging Devices in Ophthalmology: A Controlled Trial
Key Details
Gender
All
Age Range
18 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2024-07-10
Completion Date
2025-12-31
Last Updated
2024-07-09
Healthy Volunteers
Yes
Interventions
fundus photography
using artificial intelligence to identify diabetic retinopathy using fundus photography
optical coherence tomography
detect diabetic retinopathy and diabetic macular edema by optical coherence tomography
fundus fluorescence angiography
detect diabetic retinopathy by fundus fluorescence angiography
Locations (1)
The Second Affiliated Hospital Zhejiang University School of Medicine
Hangzhou, Zhejiang, China