About this trial
The early visual screening of children plays a critical role in promoting visual development, especially for those with visual impairments. Among various approaches, eye-tracking based visual assessment has emerged as a promising tool, particularly for infants, toddlers, and children with developmental disabilities who are unable to complete traditional vision tests. The object of this study is to design and investigate the effectiveness of using a deep learning based, individualized eye-tracking system to assess visual function, specifically visual acuity and visual field, in typical preschool children and infants under the age of three. This study aims to establish a reliable, noninvasive visual screening method that accommodates the diverse needs and abilities of young children.
Eligibility criteria
Qualifiers
A. General Group 1. Inclusion Criteria
Aged over 18 and under 70 years
Willing to undergo assessment and video recording using the "Deep Visual Tracking System"
Willing to sign the informed consent form
Disqualifiers
Presence of severe corneal disease or cataract that may interfere with data collection
Obvious abnormalities in eye or facial appearance, such as ptosis or facial trauma affecting facial structure
Children with physical or mental disabilities
Children diagnosed with or suspected of having developmental delay
Trial design
Treatments tested in this trial
- observational study, no interventional