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作 者:杨丽丹 李青蒨 陈倩茵 马红婕 东田理沙 林迪 林晨 YANG Lidan;LI Qingqian;CHEN Qianyin;MA Hongjie;RISA Higashita;LIN Di;LIN Chen(The Aier School of Ophthalmology,Central South University,Changsha 410035,Hunan Province,China;Department of Ophthalmology,Yantian District People’s Hospital,Shenzhen 518081,Guangdong Province,China;Guangzhou Aier Eye Hospital to Jinan University,Guangzhou 510040,Guangdong Province,China;Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,Guangdong Pro-vince,China;School of Computer Science and Technology,Tianjin University,Tianjin 300072,China;Department of Ophthalmology,Shenzhen People’s Hospital,Shenzhen 518020,Guangdong Province,China)
机构地区:[1]中南大学爱尔眼科学院,湖南省长沙市410035 [2]盐田区人民医院眼科,广东省深圳市518081 [3]暨南大学附属广州爱尔眼科医院,广东省广州市510040 [4]南方科技大学计算机科学与工程系,广东省深圳市518055 [5]天津大学计算机科学与技术学院,天津市300072 [6]深圳市人民医院眼科,广东省深圳市518020
出 处:《眼科新进展》2023年第6期500-504,共5页Recent Advances in Ophthalmology
基 金:湖南省临床医疗技术创新引导计划(编号:2017SK50903);深圳市知识创新计划基础研究项目(编号:JCYJ20170307155030786)。
摘 要:近年来,随着以深度学习(DL)为代表的人工智能(AI)技术发展,为眼科领域带来了新的研究手段,提高了眼科疾病的筛查和诊断水平。目前,AI对糖尿病视网膜病变、白内障、早产儿视网膜病变、角膜炎等多种疾病的诊断效率较高。在青光眼方面,AI可用于分析眼底彩色照相、光学相干断层扫描(OCT)、视野等多模态影像综合评估结构及功能改变,从而提高青光眼的诊断水平。本文主要对AI在青光眼诊断中的研究进展进行综述,探讨其优势和现阶段的局限性。In recent years,the developing artificial intelligence(AI)represented by deep learning has created many new methods for clinical research in ophthalmology,improving the efficiency of screening and diagnosing ophthalmic diseases.AI has been well applied in the diagnosis of diabetic retinopathy,cataract,retinopathy of prematurity,and keratitis.In the field of glaucoma,AI can be used to analyze multimodal images based on fundus photography,optical coherence tomography,and perimetry,so as to evaluate the structural and functional changes in the retina,improving the diagnostic level of glaucoma.This article reviews the application of AI in diagnosing glaucoma and discusses its advantages and limitations at the current stage.
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