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NCT04678375

Artificial Intelligence for Detecting Retinal Diseases

Completed Last updated 15 April 2021
What this trial tests

trial testing Retinal diseases diagnosed by artificial intelligence algorithm in Artificial Intelligence in 1,000,000 participants. Completed in 1 October 2020.

Timeline
1 June 2018
Primary endpoint
30 June 2020
1 October 2020

Quick facts

Lead sponsorBeijing Tongren Hospital
StatusCompleted
Study typeOBSERVATIONAL
Enrollment1,000,000
Start date1 June 2018
Primary completion30 June 2020
Estimated completion1 October 2020
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Beijing Tongren Hospital

Who can join

Adults 18 to 80, any sex, with Artificial Intelligence or Retinal Diseases. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.
    Dong L, He W, Zhang R, Ge Z, et al · · 2022 · cited 92× · PMID 35503220 · DOI 10.1001/jamanetworkopen.2022.9960
  2. Trends in the Prevalence of Common Retinal and Optic Nerve Diseases in China: An Artificial Intelligence Based National Screening.
    Zhang R, Dong L, Fu X, Hua L, et al · · 2024 · cited 9× · PMID 38648051 · DOI 10.1167/tvst.13.4.28

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Other recruiting trials for Artificial Intelligence

Currently open trials in the same condition.

Other Beijing Tongren Hospital trials

Trials by the same sponsor.

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Data sources for this page

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