Validation of the Utility of Myopia Intelligent Diagnostic System

Not Applicable

• Conditions: Myopia
• Interventions: Device: Myopia Intelligent Diagnostic System

• Registration Number: NCT04014725
• Lead Sponsor: Sun Yat-sen University

Brief Summary

The screening of myopia via artificial intelligence represents an challenge in computational medicine. Here, the investigators use "deep learning" to create an automatic diagnostic system for myopia screening using ocular appearance images. The investigator also use this system and conduct clinical trial to validate its performance.

Detailed Description

Not available

Study Timeline

• Status Verified: 2019-07
• Study First Submitted: 2019-07-01
• Study First Submitted QC: 2019-07-08
• Last Update Submitted: 2019-07-08
• Study Start: 2019-07-10
• Study First Posted: 2019-07-10
• Last Update Posted: 2019-07-10
• Primary Completion: 2019-08-01
• Study Completion: 2019-08-01

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 50

Inclusion Criteria

• Student aged 6-18

Exclusion Criteria

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Eligible patients for AI test	Myopia Intelligent Diagnostic System	-

Primary Outcome Measures

Name	Time	Method
The AUC of the Myopia Intelligent Diagnostic System	up to 3 month

Secondary Outcome Measures

Name	Time	Method
The sensitivity of the Myopia Intelligent Diagnostic System	up to 3 month
The specificity of the Myopia Intelligent Diagnostic System	up to 3 month