摘要
近年来,随着计算机学科的进步与学科交叉融合的推进,人工智能(AI)在医学领域呈现出迅猛发展的态势,在眼科学也取得了许多突破性进展。既往AI在眼科学的应用研究大多集中在糖尿病视网膜病变、年龄相关性黄斑变性等眼底疾病。近年来,随着AI学习算法的改进以及大数据的开发利用,AI在眼科学的应用范围得以进一步拓展,越来越多的研究开始将AI应用于眼表疾病。本文综述了AI在圆锥角膜、翼状胬肉及角膜炎等眼表疾病中的相关研究和应用,探讨当前AI在眼科学临床应用中面临的挑战与机遇,并对其未来发展前景进行展望,旨在为眼科AI的发展提供新思路。
In the past few years,with the valid development of computer science and the advancement of interdisciplinary integration,the application of artificial intelligence(AI)in the medical field has increased rapidly.Previously,most AI-related research in ophthalmology focused on posterior segment such as diabetic retinopathy and age-related macular degeneration.Recent years,with refinement of learning algorithms and availability of big data,there are more and more research about AI applied to ocular surface diseases.This article reviews the related research and application of AI in ocular surface diseases,which discussing the current challenges as well as the opportunities of AI-related application of ophthalmology.
作者
于薏
周奕文
杨燕宁
Yi Yu;Yi-Wen Zhou;Yan-Ning Yang(Eye Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China)
出处
《国际眼科杂志》
CAS
北大核心
2022年第5期726-730,共5页
International Eye Science
基金
湖北省重点研发计划项目(No.2020BCB055)。
关键词
人工智能
机器学习
深度学习
卷积神经网络
眼表疾病
artificial intelligence
machine learning
deep learning
convolutional neural network
ocular surface diseases
