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Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy

Not yet recruiting
Conditions
Diabetic Retinopathy
Diabetic Macular Edema
Interventions
Diagnostic Test: fundus fluorescence angiography
Diagnostic Test: fundus photography
Diagnostic 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
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.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
fundus fluorescence angiographyfundus fluorescence angiographyfundus fluorescence angiography in patients with diabetic retinopathy
artificial intelligence-assisted fundus photographyfundus photographyArtificial intelligence-assisted fundus photography in patients with diabetic retinopathy
optical coherence tomographyoptical coherence tomographyoptical coherence tomography in patients with diabetic retinopathy
Primary Outcome Measures
NameTimeMethod
The accuracyBaseline-Month 12

Detection of DR accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography

Secondary Outcome Measures
NameTimeMethod
The accuracyBaseline-Month 12

Detection of DME accuracy using fundus photography, optical coherence tomography, and fundus fluorescence angiography

Trial Locations

Locations (1)

The Second Affiliated Hospital Zhejiang University School of Medicine

🇨🇳

Hangzhou, Zhejiang, China

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