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NCT03766737

Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children

Completed NA Last updated 6 December 2018
What this trial tests

NA trial testing An intelligent visual acuity diagnostic system for children in Ophthalmopathy in 50 participants. Completed in 20 July 2018.

Timeline
20 May 2018
Primary endpoint
20 July 2018
20 July 2018

Quick facts

Lead sponsorSun Yat-sen University
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment50
Start date20 May 2018
Primary completion20 July 2018
Estimated completion20 July 2018
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Sun Yat-sen University

Who can join

Adults 1 Month to 14, any sex, with Ophthalmopathy or Artificial Intelligence. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Visual development during early childhood is a vital process. Examining the visual acuity of children is essential for the early detection of visual abnormality, but performing such an assessment in children is challenging. Here, the investigators developed a human-in-the-loop artificial intelligence (AI) paradigm that combines traditional vision examination and AI with integrated software and hardware, thus making the vision examination easy to perform. The investigator also establish a entity intelligent visual acuity diagnostic system based on the paradigm, and conduct clinical trial to validate if the diagnostic system can offsetting the shortcomings of human doctors.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Ophthalmopathy

Currently open trials in the same condition.

Other Sun Yat-sen University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

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