人工智能诊断系统在视网膜疾病的研究进展

Research progress of artificial intelligence diagnosis system in retinal diseases

视网膜疾病是人类严重视力丧失的主要原因,糖尿病视网膜病变(DR)、青光眼视网膜病变、视神经病变及年龄相关性黄斑变性(AMD)等疾病的早期筛查及按时随访是疾病防治的重点。但由于眼科医生数量有限、难以开展大规模人工筛查。人工智能(AI)技术在眼科领域的应用为解决上述难题带来曙光。本文对AI在DR、青光眼视网膜病变及视神经病变、AMD等疾病诊断中的临床应用进行综述,探讨AI诊断系统在视网膜疾病教学中的应用,并指出目前AI诊断系统面临的问题,展望其在视网膜疾病领域的应用前景。

Retinal diseases are the main cause of severe vision loss in humans.Early screening and timely follow-up of diseases such as diabetic retinopathy(DR),glaucomatous retinopathy and optic neuropathy,age-related macular degeneration(AMD)are the key of disease prevention and treatment.However,due to the limited number of ophthalmologists and the high cost of manual screening,it is difficult to carry out large-scale disease screening.The application of artificial intelligence(AI)in ophthalmology has brought dawn to solve the problems.This article reviews the application of AI in the diagnosis of DR,glaucomatous retinopathy and optic neuropathy,AMD and other diseases,discusses the application of AI diagnosis system in the teaching of retinal diseases,points out the current problems of AI systems,and looks forward to its development prospects in the field of retinopathy.