Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy

Sponsor
Zhejiang University
Study ID
NCT06423274
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 90 Years
Healthy Volunteers
Accepted

Interventions

  • fundus photography — DIAGNOSTIC_TEST
    using artificial intelligence to identify diabetic retinopathy using fundus photography
  • optical coherence tomography — DIAGNOSTIC_TEST
    detect diabetic retinopathy and diabetic macular edema by optical coherence tomography
  • fundus fluorescence angiography — DIAGNOSTIC_TEST
    detect diabetic retinopathy by fundus fluorescence angiography

Study Details

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.

Key Dates

First listed
May 21, 2024
Start date
Jul 10, 2024
Status verified
Jul 2024
Primary completion
Sep 1, 2025
Completion
Dec 31, 2025

Study Design

Enrollment
1,000 participants (estimated)

Arms

  • Arm: artificial intelligence-assisted fundus photography
    Artificial intelligence-assisted fundus photography in patients with diabetic retinopathy
  • Arm: optical coherence tomography
    optical coherence tomography in patients with diabetic retinopathy
  • Arm: fundus fluorescence angiography
    fundus fluorescence angiography in patients with diabetic retinopathy

Primary Outcome Measure

The accuracy [ Time Frame: Baseline-Month 12 ]

Central Contacts

Find similar trials

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Diabetic retinopathy trialsOphthalmology trialsRetina trials

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