NCT05615519

Validation of a Smartphone-based Intelligent Diagnosis and Measurement for Strabismus

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 300 (estimated)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: 3 Years
• Healthy volunteers: Accepted

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.

Conditions

• Strabismus
• Exotropia
• Esotropia
• Vertical Strabismus

Interventions

Type	Name	Description
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

Timeline

• Start date: 2022-12-02
• Primary completion: 2023-03-01
• Completion: 2023-04-01
• First posted: 2022-11-14
• Last updated: 2022-12-05

Locations

1 site across 1 country: China