Validation of a Smartphone-based Intelligent Diagnosis and Measurement for Strabismus
- Conditions
- Vertical StrabismusExotropiaEsotropiaStrabismus
- Registration Number
- NCT05615519
- Lead Sponsor
- Sun Yat-sen University
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 300
The quality of facial videos should be clinically acceptable.
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The effectiveness of smartphone-based diagnosis Baseline The accurate and the area under curve of the smartphone-based diagnosis.
The consistency between manual and smartphone measurement Baseline Agreement between the manual and automated tests was represented in Bland-Altman plots and concordance correlation coefficients.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity
🇨🇳Guangzhou, Guangdong, China
Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity🇨🇳Guangzhou, Guangdong, ChinaHaotian Lin, Ph.DPrincipal Investigator