An observational study in Strabismus, Exotropia and Esotropia, sponsored by Sun Yat-sen University. Status unknown at 1 site in China. Open to participants aged 3 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-12-05.
Sponsored by Sun Yat-sen University · Observational
The current measurement methods of strabismus include the corneal light reflection method, prism alternate covering, etc., which especially rely on the subjective experience of doctors, and there is a large error between different measurers， leading to serious underestimation of strabismus prevalence and insufficient care for strabismus patients. Here, the investigators established and validated an artificial intelligence system to achieve an automatic diagnosis of strabismus based on patient-sourced videos of programmatic cover tests. Three-dimensional reconstruction methods are used to digitize the parameters of head and eye positions. This system has been integrated into a smartphone platform to be further validated through hospital-based and population-based clinical trials.
Outpatients from strabismus \& optometry departments or participants from the internet.
Inclusion Criteria:
The quality of facial videos should be clinically acceptable.
Facial videos dataset Facial videos were collected using smartphone and following the programmatic cover tests.
Diagnostic Test: A new technology based on 3D reconstruction and deep learning algorithm to achieve an automatic diagnosis of strabismus based on patient-sourced videos of programmatic cover tests.
Digital ruler of strabismus
The effectiveness of smartphone-based diagnosis
The accurate and the area under curve of the smartphone-based diagnosis.
Time frame: Baseline
The consistency between manual and smartphone measurement
Agreement between the manual and automated tests was represented in Bland-Altman plots and concordance correlation coefficients.
Time frame: Baseline
This study is status unknown, as verified in Dec 2022. You cannot join it, but the record below documents what was studied.
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Sun Yat-sen University