Diabetic Retinopathy Clinical Trial
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
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.
Status | Not yet recruiting |
Enrollment | 1000 |
Est. completion date | December 31, 2025 |
Est. primary completion date | September 1, 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 90 Years |
Eligibility | Inclusion Criteria: 1. Diagnostic for diabetes: Type 1 diabetes of a lest 5 years of evolution; or Type 2 diabetes; 2. Obtaining informed consent; 3. Patient age 18 or above. Exclusion Criteria: 1. Patients under 18 years of age; 2. Failure to Obtain informed consent; 3. Presence of other retinal diseases; 4. A patient who has already undergone the treatment. |
Country | Name | City | State |
---|---|---|---|
China | The Second Affiliated Hospital Zhejiang University School of Medicine | Hangzhou | Zhejiang |
Lead Sponsor | Collaborator |
---|---|
Zhejiang University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The accuracy | Detection of DR accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography | Baseline-Month 12 | |
Secondary | The accuracy | Detection of DME accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography | Baseline-Month 12 |
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