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人工智能在葡萄膜炎诊断中的应用指南(2025)
Guidelines for the use of artificial intelligence in the diagnosis of uveitis(2025)
【摘要】 葡萄膜炎是累及虹膜、睫状体和脉络膜的眼内炎症,病因复杂。既往准确诊断葡萄膜炎和识别其相关全身性疾病需要综合临床病史、体格检查和辅助检查等进行详细分析,具有较大的挑战性。近年来,人工智能(AI)在诊断决策支持系统中的不断涌现和应用,为葡萄膜炎评估及诊断带来了新的方法。中国医药教育协会智能医学专委会和国际转化医学会眼科学专委会组织专家总结了目前AI在葡萄膜炎疾病中的应用现状,就AI在葡萄膜炎病因诊断、分类和评估方面的应用提出了指导性意见,形成该指南,旨在帮助临床医生诊断、分类和管理葡萄膜炎患者。
【Abstract】 Uveitis is an intraocular inflammation involving the iris, ciliary body, and choroid, with various etiologies. Accurate diagnosis of uveitis and identification of its related systemic diseases was a great challenge in the past as it requires a detailed analysis of the clinical history, physical examination results, and diagnostic tests. The continuous emergence and increasing application of artificial intelligence(AI) in diagnostic decision support systems in recent years provide new methods for the assessment and diagnosis of uveitis. The Ophthalmic Imaging and Intelligent Medicine Branch of the China Medical Education Association and the Ophthalmology Professional Committee of the International Translational Medicine Association has organized experts to summarize the current application status of AI in uveitis diseases, and to provide guidance on the application of AI in the diagnosis, classification, and evaluation of uveitis etiologies. This guideline aims to help clinical doctors diagnose, classify, and manage uveitis patients.
【Key words】 uveitis; diagnosis; etiology; artificial intelligence; algorithms;
- 【文献出处】 眼科新进展 ,Recent Advances in Ophthalmology , 编辑部邮箱 ,2025年03期
- 【分类号】TP18;R773
- 【下载频次】158