MedTrace Logo

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

NCT03766737 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2018-12-06

No results posted yet for this study

Summary

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.

Conditions

  • Ophthalmopathy
  • Artificial Intelligence

Interventions

DEVICE

An intelligent visual acuity diagnostic system for children

An artificial intelligence to make evaluation and of children's vision.

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Lin Haotian, M.D, Ph.D · Zhongshan Ophthalmic Center, Sun Yat-sen University

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
1 Month
Max Age
14 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-05-20
Primary Completion
2018-07-20
Completion
2018-07-20

Countries

  • China

Study Locations

More Related Trials

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 NCT03766737 on ClinicalTrials.gov