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Artificial Intelligence for Detecting Retinal Diseases

NCT04678375 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1000000

Last updated 2021-04-15

No results posted yet for this study

Summary

The objective of this study is to apply an artificial intelligence algorithm to diagnose multi retinal diseases from fundus photography. The effectiveness and accuracy of this algorithm was evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.

Conditions

Interventions

DIAGNOSTIC_TEST

Retinal diseases diagnosed by artificial intelligence algorithm

An artificial intelligence algorithm was applied to diagnose referral diabetes retinopathy, referral age-related macular degeneration, referral possible glaucoma, pathological myopia, retinal vein occlusion, macular hole, macular epiretinal membrane, hypertensive retinopathy, myelinated fibers, retinitis pigmentosa and other retinal lesions from fundus photography.

Sponsors & Collaborators

  • Beijing Tulip Partner Technology Co., Ltd, China

    collaborator UNKNOWN

  • Beijing Tongren Hospital

    lead OTHER

Principal Investigators

  • Wenbin Wei · Beijing Tongren Hospital

Eligibility

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

Timeline & Regulatory

Start
2018-06-01
Primary Completion
2020-06-30
Completion
2020-10-01

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 NCT04678375 on ClinicalTrials.gov