Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children
- Conditions
- OphthalmopathyArtificial Intelligence
- Interventions
- Device: An intelligent visual acuity diagnostic system for children
- Registration Number
- NCT03766737
- Lead Sponsor
- Sun Yat-sen University
- Brief 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 50
- Paediatric patients from eye clinic written informed consents provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Eligible patients for AI test. An intelligent visual acuity diagnostic system for children Device: An intelligent visual acuity diagnostic system for children. An artificial intelligence to evaluate children's vision.
- Primary Outcome Measures
Name Time Method The proportion of accurate, mistaken and miss detection of the intelligent visual acuity diagnostic system. Up to 5 years
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Zhongshan Ophthalmic Center, Sun Yat-sen University
🇨🇳Guangzhou, Guangdong, China