摘要
老年性黄斑变性(SMD)是一种复杂的、高度遗传的、多因素作用的疾病,患者黄斑区结构会发生衰老性改变,表现为视网膜进行性变性和视力逐渐丧失。全世界约有2亿人受到SMD的影响,并且随着人口老龄化的加剧,发病率不断上升。近年来人工智能(AI)技术发展迅猛,AI技术在医学领域的应用为医疗行业的发展带来新的可能。利用AI对视网膜液进行定性定量评估,不仅可以在新生血管性SMD的诊断过程中发挥重要作用,还可以在治疗过程中根据治疗效果及时调整治疗方案,为患者提供更加个性化的治疗。本指南总结了AI在SMD治疗中的应用,包括AI在视网膜液监测技术中的应用进展、临床应用及未来发展,为眼科医生评估患者病情、设计治疗方案及判断预后提供足够的帮助。
Senile macular degeneration(SMD)is a complex,highly heritable,and multifactorial disease that leads to the aging-related change in the macular region,characterized by progressive retinal degeneration and progressive loss of vision.About 200 million people worldwide suffer from SMD,and the incidence is increasing as the population ages.Artificial intelligence(AI)technology has developed rapidly in recent years,and its application in the medical field has brought new possibilities for the development of the medical industry.AI-based qualitative and quantitative evaluation of retinal fluid can not only facilitate the diagnosis of neovascular SMD but also help adjust the treatment plan timely according to the effect,so as to provide more targeted treatment for patients.This guide summarizes the application of AI in the treatment of SMD,including the application progress,clinical application and future development of AI in retinal fluid monitoring,to provide sufficient support for ophthalmologists to evaluate patient’s conditions,design treatment plans and estimate prognosis.
出处
《眼科新进展》
CAS
北大核心
2024年第7期505-511,共7页
Recent Advances in Ophthalmology
基金
国家自然科学基金(编号:82160195)
江西省双千计划科技创新高端领军人才项目(编号:jxsq2023201036)
江西省重大(重点)研发专项计划(编号:20223BBH80014)。
关键词
人工智能
老年性黄斑变性
光学相干断层扫描
卷积神经网络
线性混合模型
artificial intelligence
senile macular degeneration
optical coherence tomography
convolutional neural network
linear mixture model
