Validation of the Utility of Myopia Intelligent Diagnostic System

July 8, 2019 updated by: Haotian Lin, Sun Yat-sen University

Validation of the Utility of Myopia Intelligent Diagnostic System: A Clinical Trial

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.

Study Overview

Status

Unknown

Conditions

Study Type

Interventional

Enrollment (Anticipated)

50

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Student aged 6-18

Exclusion Criteria:

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Eligible patients for AI test
An artificial intelligence to make diagnosis of myopia using ocular appearance images

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
The AUC of the Myopia Intelligent Diagnostic System
Time Frame: up to 3 month
up to 3 month

Secondary Outcome Measures

Outcome Measure
Time Frame
The sensitivity of the Myopia Intelligent Diagnostic System
Time Frame: up to 3 month
up to 3 month
The specificity of the Myopia Intelligent Diagnostic System
Time Frame: up to 3 month
up to 3 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

July 10, 2019

Primary Completion (Anticipated)

August 1, 2019

Study Completion (Anticipated)

August 1, 2019

Study Registration Dates

First Submitted

July 1, 2019

First Submitted That Met QC Criteria

July 8, 2019

First Posted (Actual)

July 10, 2019

Study Record Updates

Last Update Posted (Actual)

July 10, 2019

Last Update Submitted That Met QC Criteria

July 8, 2019

Last Verified

July 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • CCPMOH2019-China-2

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Myopia

Clinical Trials on Myopia Intelligent Diagnostic System

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