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Development of AI Model for Uveitis Progression and Prognosis

Development of Artificial Intelligence Prediction Model for Uveitis Progression and Prognosis

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04705103
Enrollment
450
Registered
2021-01-12
Start date
2021-01-10
Completion date
2022-12-30
Last updated
2021-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Uveitis

Brief 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.

Interventions

None listed

Sponsors

Sun Yat-sen University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Participants who were diagnosed as uveitis, including the initial stage or relapse, or remission of uveitis.

Exclusion criteria

* Participants who cannnot cooperate with ocualr examination.

Design outcomes

Primary

MeasureTime frameDescription
uveitis progressionup to 1 monthuveitis progression is divided into remission, relapse, or initial

Contacts

Primary ContactHaotian Lin, M.D.,Ph.D
gddlht@aliyun.com13802793086
Backup Contactshuyi Zhang, M.D.
shuyi_z@163.com15622177115

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026