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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
50
An artificial intelligence to make evaluation and of children's vision.
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China
The proportion of accurate, mistaken and miss detection of the intelligent visual acuity diagnostic system.
Time frame: Up to 5 years
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