Validation of the Utility of Myopia Intelligent Diagnostic System

Sun Yat-sen University

Status: Unknown

Conditions: Myopia

Treatments: Device: Myopia Intelligent Diagnostic System

Study type: Interventional

Funder types: Other

Identifiers

NCT04014725

CCPMOH2019-China-2

Details and patient eligibility

About

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.

Enrollment: 50 estimated patients

Sex: All

Ages: 6 to 18 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Student aged 6-18

Exclusion criteria

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

Experimental group

Treatment:

Device: Myopia Intelligent Diagnostic System