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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06423274
Other study ID # DR artificial intelligence
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date May 10, 2024
Est. completion date December 31, 2025

Study information

Verified date May 2024
Source Zhejiang University
Contact Hongkang Wu, MMS
Phone +8618969978676
Email wuhongkang@zju.edu.cn
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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 information / eligibility

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.

Study Design


Intervention

Diagnostic Test:
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

Country Name City State
China The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang

Sponsors (1)

Lead Sponsor Collaborator
Zhejiang University

Country where clinical trial is conducted

China, 

Outcome

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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