Validation of the Utility of Myopia Intelligent Diagnostic System
NCT ID: NCT04014725
Last Updated: 2019-07-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
50 participants
INTERVENTIONAL
2019-07-10
2019-08-01
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Development and Validation of a Deep Learning-based Myopia and Myopic Maculopathy Detection and Prediction System
NCT05835115
Validation of a Predictive Algorithm to Determine the Effectiveness of Orthokeratology for Myopia Control
NCT04275635
Investigating the Effect of Using Myopia Prediction Algorithm on Myopia Children
NCT04044755
Efficacy and Safety of Defocusing Frame Glasses With Artificial Intelligence in Controlling Myopia Progression
NCT05532774
Effect of a Myopia Prediction System on Myopia Prevention and Control
NCT06633393
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Eligible patients for AI test
Myopia Intelligent Diagnostic System
An artificial intelligence to make diagnosis of myopia using ocular appearance images
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Myopia Intelligent Diagnostic System
An artificial intelligence to make diagnosis of myopia using ocular appearance images
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
6 Years
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Sun Yat-sen University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Haotian Lin
Clinical Professor
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
CCPMOH2019-China-2
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.