摘要
视网膜疾病是眼科学领域最具研究挑战的病种之一,其发病机制复杂,对视功能损伤很大,是人类视力严重丧失的主要原因。近年来人工智能(artificial intelligence,AI)的发展和应用为视网膜疾病的解析提供了强有力工具。人工智能对常见视网膜疾病的应用主要包括早期筛查、诊断分级、疗效判定、治疗建议及预后发展等。但是任何技术的临床应用都有其局限性。本文将对AI在糖尿病视网膜病变(DR)、年龄相关性黄斑变性(ARMD)、早产儿视网膜病变(ROP)、青光眼性眼底改变(GON)等视网膜疾病中的应用和局限性进行综述。
The retinal disease is one of the most important challenges in the field of ophthalmology.Its pathogenesis is complex and has a great damage to visual functional.It is the main cause of severe human vision.In recent years,the development of artificial intelligence(AI)is a powerful tool for analytics of retinal diseases.The application of AI to common retinal diseases mainly includes early screening,diagnostic grading,efficacy determination,treatment suggestions and prognostic development.However,any technology clinical application has its limitations.This article will be reviewed for the application of AI in retinal diseases.
作者
杨爱萍
陆翔
赵永旺
Ai-Ping Yang;Xiang Lu;Yong-Wang Zhao(Department of Ophthalmology,Shanghai Songjiang District Central Hospital,Shanghai 201600,China;Department of Cardiology,Shanghai Songjiang District Central Hospital,Shanghai 201600,China)
出处
《国际眼科杂志》
CAS
北大核心
2021年第11期1905-1908,共4页
International Eye Science
关键词
人工智能
视网膜疾病
机器学习
深度学习
卷积神经网络
artificial intelligence
retinal disease
machine learning
deep learning
convolutional neural network
