Last reviewed · How we verify

NCT04413370

Dry Eye Screening and Referral System

Status unknown Last updated 25 April 2022
What this trial tests

trial testing Dry eye diagnostic test in Dry Eye in 518 participants. Status unknown.

Timeline
6 January 2020
Primary endpoint
19 April 2022
1 August 2022

Quick facts

Lead sponsorSun Yat-sen University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment518
Start date6 January 2020
Primary completion19 April 2022
Estimated completion1 August 2022
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Sun Yat-sen University

Who can join

18 and older, any sex, with Dry Eye. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Dry eye is one of the most common ocular surface diseases. Its pathogenic factors are related to multiple etiology. Because of the complexity of the pathogenesis of dry eye, the diversity of related examinations, and the inconsistency of symptoms and signs of dry eye patients, the diagnosis of dry eye has higher requirements on the professional technology and examination equipment of ophthalmologists. The purpose of this study is to establish a case-control cohort of dry eye patients. Multimodal data will be collected from participants, including medical history information, ocular surface disease index scale (OSDI), anterior segment photography, and treatment outcome of dry eye patients. The correlation between the characteristics of anterior segment images and dry eye diagnosis will be explored by artificial intelligence algorithms. The purpose of this study was to develop an artificial intelligence dry eye screening and referral system.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Dry Eye

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

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