Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy
- Conditions
- Diabetic RetinopathyDiabetic Macular Edema
- Interventions
- Diagnostic Test: fundus fluorescence angiographyDiagnostic Test: fundus photographyDiagnostic Test: optical coherence tomography
- Registration Number
- NCT06423274
- Lead Sponsor
- Zhejiang University
- Brief 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.
- Detailed Description
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.
This study was conducted as a prospective study. Participants meeting eligibility criteria will be recruited from sites staffed by trained photographers. After assessing eligibility and obtaining informed consent, fundus photographs will be taken using a non-dilated fundus camera. And optical coherence tomography or fundus fluorescence angiography will be performed.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 1000
- Diagnostic for diabetes: Type 1 diabetes of a lest 5 years of evolution; or Type 2 diabetes;
- Obtaining informed consent;
- Patient age 18 or above.
- Patients under 18 years of age;
- Failure to Obtain informed consent;
- Presence of other retinal diseases;
- A patient who has already undergone the treatment.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description fundus fluorescence angiography fundus fluorescence angiography fundus fluorescence angiography in patients with diabetic retinopathy artificial intelligence-assisted fundus photography fundus photography Artificial intelligence-assisted fundus photography in patients with diabetic retinopathy optical coherence tomography optical coherence tomography optical coherence tomography in patients with diabetic retinopathy
- Primary Outcome Measures
Name Time Method The accuracy Baseline-Month 12 Detection of DR accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography
- Secondary Outcome Measures
Name Time Method The accuracy Baseline-Month 12 Detection of DME accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
Trial Locations
- Locations (1)
The Second Affiliated Hospital Zhejiang University School of Medicine
🇨🇳Hangzhou, Zhejiang, China