人工智能在干眼临床诊断中的应用专家共识(2023)  

Expert consensus on clinical application of artificial intelligence in dry eyes (2023) Expert Consensus on Clinical Application of Artificial Intelligence in Dry Eyes (2023)

作　　者：《人工智能在干眼临床诊断中的应用专家共识(2023)》专家组 中国医药教育协会眼科影像与智能医疗分会 中国人口文化促进会角膜病与眼表疾病分会 邵毅[2] 陈蔚 刘祖国[4] Expert consensus on clinical application of artificial intelligence in dry eyes(2023)Expert Consensus on Clinical Application of Artificial Intelligence in Dry Eyes(2023)Expert Group;Ophthalmic Imaging and Intelligent Medicine Branch of China Medical Education Association;Corneal and Ocular Surface Diseases Branch of Chinese Population and Society Promotion Association;SHAO Yi;CHEN Wei;LIU Zuguo

机构地区：[1]不详 [2]南昌大学第一附属医院 [3]温州医科大学附属眼视光医院 [4]厦门大学眼科研究所

出　　处：《眼科新进展》2023年第4期253-259,共7页Recent Advances in Ophthalmology

基　　金：国家自然科学基金资助(编号:82160195,61906066);江西省双千计划科技创新高端人才项目(2022);江西省重大(重点)研发专项计划(编号:20223BBH80014,20181BBG70004,20203BBG73059);江西省杰出青年基金(编号:20192BCBL23020)。

摘　　要：干眼作为一种常见的眼科疾病,患病率高,涉及人群广。随着人工智能(AI)计算机图像技术的兴起、算法模型的改进和医学大数据的海量增长,技术,包括以深度学习(DL)为热门技术的机器学习(ML)技术在医疗领域获得了广泛的应用。AI系统具有先进的问题求解能力和稳定的可重复性,因此,医学领域使用此类技术可以帮助临床医生作出更加客观的诊断。AI在医学上应用取得的成功主要是基于ML这一分支领域的广泛应用,ML技术主要被用来分析患者数据和医学图像中的关键特征,以辅助疾病诊断、严重程度分级和预后判断。AI在眼科学领域的应用已取得显著进展。本文就AI、ML和DL在干眼诊断中的临床应用形成共识,为AI在干眼中的进一步研究和应用提供参考。Dry eye,as one of the most common eye diseases,has a high prevalence in a wide range of people.With the thriving development of artificial intelligence(AI)computer imaging technology and algorithm model,as well as the utilization of massive medical data,AI has gained popularity in medicine.Machine learning(ML)is an important branch of AI,of which deep learning(DL)is the most promising sub-field.Relying on reliable repeatability and advanced ability to solve medical problems,AI can help with providing more subjective diagnoses in the medical field.The successful application of AI in medicine is mostly due to the widespread use of ML,which is mainly applied to analyze the key features in patient data and medical images,supporting the diagnosis,classification and prognosis of diseases.AI has been widely used in ophthalmology now.A consensus is compiled for the clinical application of AI,ML and DL in dry eye,supporting the research and application of AI in dry eye.

关 键 词：人工智能 深度学习 机器学习 干眼 图像分类与分析 

分 类 号：R777[医药卫生—眼科]