NCT03766737

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

Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children: Using a Human-in-the-loop Artificial Intelligence Paradigm

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 50 (actual)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: 1 Month – 14 Years
• Healthy volunteers: Accepted

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

Type	Name	Description
DEVICE	An intelligent visual acuity diagnostic system for children	An artificial intelligence to make evaluation and of children's vision.

Timeline

• Start date: 2018-05-20
• Primary completion: 2018-07-20
• Completion: 2018-07-20
• First posted: 2018-12-06
• Last updated: 2018-12-06

Locations

1 site across 1 country: China