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Related Experiment Video

Updated: May 20, 2025

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

Assessing pediatric visual acuity with a computerized optokinetic nystagmus analyzer.

Boyang Zhu¹, Min Yang², Xiaonan Liu³

¹School of Clinical and Basic Medicine, Shandong First Medical University, Shandong, China.

Clinics (Sao Paulo, Brazil)

|May 1, 2025

Summary

A new computerized Optokinetic Nystagmus (OKN) analyzer is a practical and accurate tool for preschool vision screening. This vision diagnosis method demonstrated high testability and consistency compared to traditional charts.

Keywords:

Artificial intelligence Children Computerized optokinetic nystagmus Ophthalmology Visual acuity

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Last Updated: May 20, 2025

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Published on: March 17, 2023

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Published on: May 25, 2020

Area of Science:

Ophthalmology
Pediatric Optometry
Medical Technology

Background:

Preschool vision screening is crucial for early detection of visual impairments.
Traditional visual acuity tests can be challenging to administer in young children.
Optokinetic Nystagmus (OKN) analysis offers a potential non-invasive method for vision assessment.

Purpose of the Study:

To evaluate the practicality, accuracy, and consistency of a computer-based OKN analyzer for vision diagnosis in preschoolers.
To compare the performance of the computerized OKN analyzer with the traditional E-word visual acuity chart.

Main Methods:

A comparative study involving 138 children aged 2-6 years.
Visual acuity was assessed using both a computerized OKN analyzer (nystagmus meter) and the E-word visual acuity chart.
Statistical analyses included correlation coefficients and chi-square tests to determine testability and consistency.

Main Results:

The computerized OKN analyzer achieved a high testability rate of 90.6%, significantly higher than the E-word chart (71.0%).
No significant differences in measurability were observed across different age groups for the OKN analyzer.
A strong correlation (R = 0.872) was found between the OKN analyzer and the E-word chart, indicating high consistency.

Conclusions:

The computerized OKN analyzer is a reliable, accurate, and practical tool for preschool vision assessment.
It serves as a valuable, non-invasive alternative to traditional methods for early vision impairment detection.
The high testability and consistency make it suitable for routine vision screening in young children.