摘要
Abstract
Cataract is a primary cause of blindness globally,particularly accounting for 50%of blindness cases in low-and middle-income countries.As the population ages,it is predicated that cataract blindness cases in China will rise to 20 million by 2050.However,low health expenditures,scarcity of medical equipment and ophthalmologists,and high screening costs continue to hinder mass cataract screening in these countries.Artificial intelligence(AI)-assisted cataract diagnosis offers significant advantages,including convenience,cost-effectiveness,and remote accessibility,potentially reducing or even eliminating cataract blindness.This review aims to concisely summarize the research on automatic cataract diagnosis utilizing AI,incorporating slit lamp images of anterior eye segment,fundus photographs,and swept source optical coherence tomography images.关键词
人工智能/白内障/裂隙灯眼前节图像/眼底照片/扫频源光学相干层析图像Key words
artificial intelligence/cataract/slit lamp images of anterior eye segment/fundus images/swept source optical coherence tomography images分类
信息技术与安全科学
