人工智能在视光学领域中的研究进展  被引量:2

Research progress of artificial intelligence technology in the field of optometry

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作  者:纪玉珂 陈楠[2] 颜智鹏[2] 李柯然[2] 王成虎[2] 曹国凡[2] 蒋沁[2] 杨卫华 Yu-Ke Ji;Nan Chen;Zhi-Peng Yan;Ke-Ran Li;Cheng-Hu Wang;Guo-Fan Cao;Qin Jiang;Wei-Hua Yang(Nanjing Medical University,Nanjing 211166,Jiangsu Province,China;The Affiliated Eye Hospital of Nanjing Medical University,Nanjing 210029,Jiangsu Province,China)

机构地区:[1]南京医科大学,中国江苏省南京市211166 [2]南京医科大学附属眼科医院,中国江苏省南京市210029

出  处:《国际眼科杂志》2022年第5期731-735,共5页International Eye Science

基  金:江苏省医院协会医院管理创新研究重点课题(No.JSYGY-2-2021-467)。

摘  要:近年来,随着计算机科学技术的不断提高,以深度学习(DL)为基础的人工智能(AI)技术得到了飞速的发展,引起了全球的广泛关注。AI在医学领域的研究和应用已经取得了很大的进展,在眼科视光学领域,AI可对近视、斜视、弱视等疾病进行辅助诊断;在圆锥角膜的筛查和早期诊断以及近视的预防和矫正中取得了良好的结果。尽管如此,AI在眼科的应用也存在巨大的限制和挑战,包括临床和技术挑战、算法结果的可解释性、医学法律问题等。本文综述了AI在眼科视光学领域诊疗中的应用、局限性及展望。In recent years,with the continuous improvement of computer science and technology,artificial intelligence(AI)technology based on deep learning(DL)has developed rapidly and attracted wide attention all over the world.Great progress has been made in the research and application of AI in the medical field.In the field of optometry,AI can assist the diagnosis of myopia,strabismus,amblyopia and other diseases,and has achieved good results in the screening and early diagnosis of keratoconus as well as in the prevention and correction of myopia.Nevertheless,there are some limitations and great challenges in the application of AI in optometry,including clinical and technical challenges,interpretability of algorithmic results,medical legal issues and so on.This paper reviews the application,limitation and prospect of AI in the field of optometry.

关 键 词:人工智能 深度学习 视光学 

分 类 号:TP3[自动化与计算机技术—计算机科学与技术]

 

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