Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children
|The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.|
|ClinicalTrials.gov Identifier: NCT03766737|
Recruitment Status : Completed
First Posted : December 6, 2018
Last Update Posted : December 6, 2018
|Condition or disease||Intervention/treatment||Phase|
|Ophthalmopathy Artificial Intelligence||Device: An intelligent visual acuity diagnostic system for children||Not Applicable|
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||50 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Official Title:||Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children: Using a Human-in-the-loop Artificial Intelligence Paradigm|
|Actual Study Start Date :||May 20, 2018|
|Actual Primary Completion Date :||July 20, 2018|
|Actual Study Completion Date :||July 20, 2018|
Eligible patients for AI test.
Device: An intelligent visual acuity diagnostic system for children. An artificial intelligence to evaluate children's vision.
Device: An intelligent visual acuity diagnostic system for children
An artificial intelligence to make evaluation and of children's vision.
- The proportion of accurate, mistaken and miss detection of the intelligent visual acuity diagnostic system. [ Time Frame: Up to 5 years ]
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03766737
|Zhongshan Ophthalmic Center, Sun Yat-sen University|
|Guangzhou, Guangdong, China, 510000|
|Principal Investigator:||Lin Haotian, M.D, Ph.D||Zhongshan Ophthalmic Center, Sun Yat-sen University|