Not Yet RecruitingNot Applicable

Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy

China1,000 participantsStarted 2024-07-10

Plain-language 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.

Who can participate

Age range18 Years – 90 Years

SexALL

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Inclusion criteria

✓. 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.

Exclusion criteria

✕. Patients under 18 years of age;
✕. Failure to Obtain informed consent;
✕. Presence of other retinal diseases;
✕. A patient who has already undergone the treatment.

What they're measuring

The accuracy

Timeframe: Baseline-Month 12

Trial details

NCT IDNCT06423274

SponsorZhejiang University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-09-01

Contact for this trial

Hongkang Wu, MMS

+8618969978676 wuhongkang@zju.edu.cn

View on ClinicalTrials.gov More Diabetic Retinopathy trials