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.
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)
出处
《眼科新进展》
CAS
北大核心
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)。
关键词
青光眼
人工智能
深度学习
glaucoma
artificial intelligence
deep learning
