摘要
近年来,人工智能(AI)在医学领域呈现出迅猛发展的态势,在眼科学的应用范围也不断扩大。年龄相关性黄斑变性(AMD)是一种常见致盲性眼病,AI在AMD中的研究与应用日益增多,加深了人们对AMD的认识。利用AI技术对AMD患者进行早期筛查与诊断可以降低患者视功能损伤的风险,其次运用AI对AMD进展进行预测,设计个性化治疗方案,可以改善患者预后。该文综述了AI在AMD筛查、诊断、预后中的最新进展,以及在临床实践上面临的困难与挑战,旨在为将来的研究提供新思路。
In recent years,artificial intelligence(AI)has shown rapid development in the medical field,and its application in ophthalmology has been expanding.Age-related macular degeneration(AMD)is a common blinding eye disease,and the increasing research and application of AI in AMD have deepened the understanding of AMD.Early screening and diagnosis of AMD patients using AI technology can reduce the risk of visual impairment,and secondly,using AI to predict AMD progression and design personalized treatment plans can improve patient prognosis.This paper summarizes the new progress of AI in AMD screening,diagnosis,and prognosis,as well as the difficulties and challenges faced in clinical practice,with the aim of providing new ideas for future research.
作者
刘春
蹇文渊
段俊国
Liu Chun;Jian Wen-yuan;Duan Jun-guo(Eye School of Chengdu University of Traditional Chinese Medicine,Chengdu Sichuan 610075,China;Ineye Hospital,Chengdu University of Traditional Chinese Medicine,Chengdu,Sichuan 610084,China;Key Laboratory of Sichuan Province Ophthalmopathy Prevention&Cure and Visual Function Protection,Chengdu,Sichuan 610075,China)
出处
《中国现代医学杂志》
CAS
北大核心
2023年第11期62-68,共7页
China Journal of Modern Medicine
基金
国家自然科学基金面上项目(No:82074335)
四川省科技计划项目(No:2021ZHY0017)。
关键词
年龄相关性黄斑变性
人工智能
筛查
诊断
预测
macular degeneration,age-related
artificial intelligence
screening
diagnosis
prediction
