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.

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.

1. Initial stage of uveitis: The first episode of uveitis without treatment;
2. Remission of uveitis: Uveitis caused by various reasons in the stable disease period of more than 3 months without treatment;
3. Relapse of uveitis: After discontinuation of uveitis treatment, the disease stabilized for more than 3 months.