人工智能在糖尿病视网膜病变中的应用进展

Advances on the application progress of artificial intelligence in diabetic retinopathy

糖尿病视网膜病变(DR)是糖尿病常见的微血管并发症,是中青年人群失明的主要原因,但我国仅有不到一半的糖尿病患者接受过眼底筛查。近年来,人工智能在DR领域的研究日益增多,以深度学习为代表的人工智能算法可通过对眼底照片和光学相干断层扫描成像进行图像识别,用于DR筛查和分级,可降低DR筛查成本,减轻眼科医师的工作负担。本文中笔者将从DR风险预测、DR筛查及DR分级等方面对人工智能在DR中的应用进行综述,旨在分析人工智能在DR诊疗领域的研究现状、困境及发展方向。

Diabetic retinopathy(DR),as a common microvascular complication of diabetes,has become the main cause of blindness in young and middle age adults.However,the fundus screening for less than half of diabetes patients in China has performed.In recent years,researches on the artificial intelligence in the DR application field have increase gradually.Some artificial intelligence algorithms represented by deep learning through fundus photos,optical coherence tomography and other images recognition have revealed their advantages in the screening and grading of DR,which reduces the screening cost and lightens the burden of ophthalmologists.The application of artificial intelligence in DR from the aspects of risk prediction,screening and grading were reviewed in this paper,aiming to analyze the research situation,difficulties and development direction of artificial intelligence in the diagnosis and treatment of DR.