摘要
人工智能技术的快速迭代推动了眼科智能医学的发展,尤其在以青光眼为首的难治性致盲眼病领域,主要体现在筛查、精准诊断、病程预测等方面。本文从基于人工智能提高青光眼的筛查和诊疗水平、促进人工智能在青光眼防治中应用的举措、青光眼防治中人工智能的应用前景3个方面,阐述人工智能在青光眼防治中的应用潜力和方向,以期和眼科同道共同探讨和发挥人工智能的应用价值。
The rapid iteration of artificial intelligence(AI)technology has driven the development of intelligent ophthalmology,with enormous potential for application in the regional screening,precise diagnosis,and disease progression prediction of intractable blinding diseases,particularly glaucoma.Aiming to encourage collaborative discussions among ophthalmologists,this article elucidates the application potential and direction of AI in the prevention and treatment of glaucoma from the aspects of enhancing glaucoma screening and diagnosis levels through AI,promoting initiatives for the application of AI,and exploring the prospects of AI.
作者
卓业鸿
吴建
Zhuo Yehong;Wu Jian(Zhongshan Ophthalmic Center,Sun Yat-sen University,State Key Laboratory of Ophthalmology,Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science,Guangdong Provincial Clinical Research Center for Ocular Diseases,Guangzhou 510060,China)
出处
《中华眼科杂志》
CAS
CSCD
北大核心
2023年第9期691-695,共5页
Chinese Journal of Ophthalmology
基金
国家重点研发计划(2020YFA0112701)
国家自然科学基金(82171057)
广州市科技计划(202206080005)
中山市重大科技专项(2022A1007)。
关键词
青光眼
人工智能
机器学习
深度学习
Glaucoma
Artificial intelligence
Machine learning
Deep learning
