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A variety of diseases in the Department of Rheumatology, Immunology, Nephrology, and Gastroenterology can cause eye lesions, and medications can also bring various adverse reactions, which can seriously reduce the quality of patients' daily life, bring additional economic burdens, and even threaten the lives of patients. This study aims to recruit patients from the aboved-mentioned departments and conduct a cross-sectional and cohort study. On one hand, we plan to compare the epidemiological characteristics of ocular lesions of systemic diseases and eye adverse drug effects in patients with rheumatology, immunology, nephrology and gastroenterology, and summarized some epidemiological indices such as prevalence, high-risk factors, etc. On the other hand, we plan to develop an artificial intelligence model after collecting certain case data. By selecting risk factors related to the occurrence of ocular lesions, we aim to train models that can predict the ocular manifestations of systemic diseases and medications.
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1,000 participants in 3 patient groups
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Haotian Lin, Ph.D.
Data sourced from clinicaltrials.gov
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