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Clinical Trial 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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT03766737
Study type Interventional
Source Sun Yat-sen University
Contact
Status Completed
Phase N/A
Start date May 20, 2018
Completion date July 20, 2018

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