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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04014725
Other study ID # CCPMOH2019-China-2
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date July 10, 2019
Est. completion date August 1, 2019

Study information

Verified date July 2019
Source Sun Yat-sen University
Contact Yahan Yang
Phone +8615521013933
Email yah.yang39@hotmail.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial 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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 50
Est. completion date August 1, 2019
Est. primary completion date August 1, 2019
Accepts healthy volunteers No
Gender All
Age group 6 Years to 18 Years
Eligibility Inclusion Criteria:

- Student aged 6-18

Exclusion Criteria:

-

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Myopia Intelligent Diagnostic System
An artificial intelligence to make diagnosis of myopia using ocular appearance images

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Sun Yat-sen University

Outcome

Type Measure Description Time frame Safety issue
Primary The AUC of the Myopia Intelligent Diagnostic System up to 3 month
Secondary The sensitivity of the Myopia Intelligent Diagnostic System up to 3 month
Secondary The specificity of the Myopia Intelligent Diagnostic System up to 3 month
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