Validation of a Smartphone-based Intelligent Diagnosis and Measurement for Strabismus
NCT ID: NCT05615519
Last Updated: 2022-12-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2022-12-02
2023-04-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Eligible participants for smartphone-based strabismus measurement and diagnosis
Facial videos dataset Facial videos were collected using smartphone and following the programmatic cover tests.
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
Interventions
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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
Eligibility Criteria
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Inclusion Criteria
3 Years
ALL
Yes
Sponsors
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Sun Yat-sen University
OTHER
Responsible Party
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Haotian Lin
Clinical Professor
Locations
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Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity
Guangzhou, Guangdong, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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DRStrabismus2022
Identifier Type: -
Identifier Source: org_study_id
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