Artificial Intelligence Clinical Trial
Official title:
Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children: Using a Human-in-the-loop Artificial Intelligence Paradigm
Verified date | December 2018 |
Source | Sun Yat-sen University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
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.
Status | Completed |
Enrollment | 50 |
Est. completion date | July 20, 2018 |
Est. primary completion date | July 20, 2018 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 1 Month to 14 Years |
Eligibility |
Inclusion Criteria: - Paediatric patients from eye clinic written informed consents provided |
Country | Name | City | State |
---|---|---|---|
China | Zhongshan Ophthalmic Center, Sun Yat-sen University | Guangzhou | Guangdong |
Lead Sponsor | Collaborator |
---|---|
Sun Yat-sen University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The proportion of accurate, mistaken and miss detection of the intelligent visual acuity diagnostic system. | Up to 5 years |
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