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Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy

NCT06423274 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-07-09

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

fundus photography

using artificial intelligence to identify diabetic retinopathy using fundus photography

DIAGNOSTIC_TEST

optical coherence tomography

detect diabetic retinopathy and diabetic macular edema by optical coherence tomography

DIAGNOSTIC_TEST

fundus fluorescence angiography

detect diabetic retinopathy by fundus fluorescence angiography

Sponsors & Collaborators

  • Zhejiang University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-07-10
Primary Completion
2025-09-01
Completion
2025-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06423274 on ClinicalTrials.gov