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

NCT05615519 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2022-12-05

No results posted yet for this study

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

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

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Eligibility

Min Age
3 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-12-02
Primary Completion
2023-03-01
Completion
2023-04-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05615519 on ClinicalTrials.gov