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Validation of the Utility of Myopia Intelligent Diagnostic System

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

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04014725
Enrollment
50
Registered
2019-07-10
Start date
2019-07-10
Completion date
2019-08-01
Last updated
2019-07-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Myopia

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.

Interventions

DEVICEMyopia Intelligent Diagnostic System

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

Sponsors

Sun Yat-sen University
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
6 Years to 18 Years
Healthy volunteers
No

Inclusion criteria

* Student aged 6-18

Exclusion criteria

\-

Design outcomes

Primary

MeasureTime frame
The AUC of the Myopia Intelligent Diagnostic Systemup to 3 month

Secondary

MeasureTime frame
The sensitivity of the Myopia Intelligent Diagnostic Systemup to 3 month
The specificity of the Myopia Intelligent Diagnostic Systemup to 3 month

Contacts

Primary ContactYahan Yang
yah.yang39@hotmail.com+8615521013933

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026