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Validation of the Utility of Myopia Intelligent Diagnostic System

NCT04014725 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2019-07-10

No results posted yet for this study

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.

Conditions

  • Myopia

Interventions

DEVICE

Myopia Intelligent Diagnostic System

An artificial intelligence to make diagnosis of myopia using ocular appearance images

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
6 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-07-10
Primary Completion
2019-08-01
Completion
2019-08-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04014725 on ClinicalTrials.gov