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NCT03268031: AGE

Artificial Intelligence-assissted Glaucoma Evaluation

Completed Last updated 22 October 2020
What this trial tests

trial testing Visual field and OCT tests in Artificial Intelligence in 10,800 participants. Completed in 1 February 2020.

Timeline
15 August 2017
Primary endpoint
1 December 2019
1 February 2020

Quick facts

Lead sponsorSun Yat-sen University
StatusCompleted
Study typeOBSERVATIONAL
Enrollment10,800
Start date15 August 2017
Primary completion1 December 2019
Estimated completion1 February 2020
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Sun Yat-sen University

Who can join

Eligibility, any sex, with Artificial Intelligence or Glaucoma. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Glaucoma is currently the second leading cause of irreversible blindness in the world. Our study intends to combine clinical data of glaucoma patients in Zhongshan Ophthalmic Center with Artificial Intelligence techniques to create programs that can screen and diagnose glaucoma.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
    Li F, Song D, Chen H, Xiong J, et al · · 2020 · cited 38× · PMID 33043147 · DOI 10.1038/s41746-020-00329-9

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Other recruiting trials for Artificial Intelligence

Currently open trials in the same condition.

Other Sun Yat-sen University trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03268031.

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