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

Sun Yat-sen University

Status: Completed

Conditions: Ophthalmopathy; Artificial Intelligence

Treatments: Device: An intelligent visual acuity diagnostic system for children

Study type: Interventional

Funder types: Other

Identifiers

NCT03766737

CCPMOH2018-China-12

Details and patient eligibility

About

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.

Enrollment: 50 patients

Sex: All

Ages: 1 month to 14 years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• Paediatric patients from eye clinic written informed consents provided

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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50 participants in 1 patient group

Eligible patients for AI test.

Other group

Description:

Device: An intelligent visual acuity diagnostic system for children. An artificial intelligence to evaluate children's vision.

Treatment:

Device: An intelligent visual acuity diagnostic system for children