Development of AI Model for Uveitis Progression and Prognosis
NCT ID: NCT04705103
Last Updated: 2021-01-12
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
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
450 participants
OBSERVATIONAL
2021-01-10
2022-12-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Validation of the Utility of Ophthalmology Intelligent Diagnostic System
NCT03499145
Quality of Life and Visual Function in Uveitis Patients
NCT00407316
Lyon Uveitis Study
NCT03877575
Real-time Artificial Intelligence System for Detecting Multiple Ocular Fundus Lesions by Ultra-widefield Fundus Imaging
NCT04859634
Pathogen Detection in Infectious Uveitis
NCT04521673
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
initial
No interventions assigned to this group
relapse
No interventions assigned to this group
inactive
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Sun Yat-sen University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Haotian Lin
Professor
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2020KYPJ185
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.