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Development of AI Model for Uveitis Progression and Prognosis

NCT04705103 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 450

Last updated 2021-01-12

No results posted yet for this study

Summary

Uveitis is a recurrent inflammation of the eye that can lead to vision loss with various and complicated etiologies. There are many difficulties in uveitis management due to the requirement of long-term monitoring and treatment. This study intends to establish a longitudinal cohort of uveitis patients to colloect multimodal clinical data including visual acuity, intraocular pressure, anterior segment photography, fundus photography, fluoroscopy and other ophthalmic examinations, and final diagnosis in order to use artificial intelligence and deep learning technology to extract ocular features, explore the association with the progression and prognosis of uveitis and finally establish a disease management model for uveitis.

Conditions

  • Uveitis

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-10
Primary Completion
2022-11-30
Completion
2022-12-30

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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 NCT04705103 on ClinicalTrials.gov