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Validation of the Utility of Myopia Intelligent Diagnostic System

Primary Purpose

Myopia

Status
Unknown status
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
Myopia Intelligent Diagnostic System
Sponsored by
Sun Yat-sen University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Myopia

Eligibility Criteria

6 Years - 18 Years (Child, Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Student aged 6-18

Exclusion Criteria:

-

Sites / Locations

    Arms of the Study

    Arm 1

    Arm Type

    Experimental

    Arm Label

    Eligible patients for AI test

    Arm Description

    Outcomes

    Primary Outcome Measures

    The AUC of the Myopia Intelligent Diagnostic System

    Secondary Outcome Measures

    The sensitivity of the Myopia Intelligent Diagnostic System
    The specificity of the Myopia Intelligent Diagnostic System

    Full Information

    First Posted
    July 1, 2019
    Last Updated
    July 8, 2019
    Sponsor
    Sun Yat-sen University
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    1. Study Identification

    Unique Protocol Identification Number
    NCT04014725
    Brief Title
    Validation of the Utility of Myopia Intelligent Diagnostic System
    Official Title
    Validation of the Utility of Myopia Intelligent Diagnostic System: A Clinical Trial
    Study Type
    Interventional

    2. Study Status

    Record Verification Date
    July 2019
    Overall Recruitment Status
    Unknown status
    Study Start Date
    July 10, 2019 (Anticipated)
    Primary Completion Date
    August 1, 2019 (Anticipated)
    Study Completion Date
    August 1, 2019 (Anticipated)

    3. Sponsor/Collaborators

    Responsible Party, by Official Title
    Principal Investigator
    Name of the Sponsor
    Sun Yat-sen University

    4. Oversight

    Studies a U.S. FDA-regulated Drug Product
    No
    Studies a U.S. FDA-regulated Device Product
    No
    Data Monitoring Committee
    Yes

    5. Study Description

    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.

    6. Conditions and Keywords

    Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
    Myopia

    7. Study Design

    Primary Purpose
    Diagnostic
    Study Phase
    Not Applicable
    Interventional Study Model
    Single Group Assignment
    Masking
    None (Open Label)
    Allocation
    N/A
    Enrollment
    50 (Anticipated)

    8. Arms, Groups, and Interventions

    Arm Title
    Eligible patients for AI test
    Arm Type
    Experimental
    Intervention Type
    Device
    Intervention Name(s)
    Myopia Intelligent Diagnostic System
    Intervention Description
    An artificial intelligence to make diagnosis of myopia using ocular appearance images
    Primary Outcome Measure Information:
    Title
    The AUC of the Myopia Intelligent Diagnostic System
    Time Frame
    up to 3 month
    Secondary Outcome Measure Information:
    Title
    The sensitivity of the Myopia Intelligent Diagnostic System
    Time Frame
    up to 3 month
    Title
    The specificity of the Myopia Intelligent Diagnostic System
    Time Frame
    up to 3 month

    10. Eligibility

    Sex
    All
    Minimum Age & Unit of Time
    6 Years
    Maximum Age & Unit of Time
    18 Years
    Accepts Healthy Volunteers
    No
    Eligibility Criteria
    Inclusion Criteria: Student aged 6-18 Exclusion Criteria: -
    Central Contact Person:
    First Name & Middle Initial & Last Name or Official Title & Degree
    Yahan Yang
    Phone
    +8615521013933
    Email
    yah.yang39@hotmail.com

    12. IPD Sharing Statement

    Learn more about this trial

    Validation of the Utility of Myopia Intelligent Diagnostic System

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