Advances in teleophthalmology and artificial intelligence for diabetic retinopathy screening:a narrative review  

作　　者：Tanvi Chokshi Maria Jessica Cruz Jonathon Ross Glenn Yiu 

机构地区：[1]Tschannen Eye Institute,Department of Ophthalmology,University of California,Davis Health,Sacramento,CA,USA [2]Department of Research,College of Medicine,California Northstate University,Elk Grove,CA,USA

出　　处：《Annals of Eye Science》2024年第2期24-37,共14页眼科学年鉴（英文）

摘　　要：Background and Objective:Advances in teleophthalmology and artificial intelligence(AI)for diabetic retinal screening is of growing public health interest.Currently,only 30–40%of patients with diabetes adhere to recommended diabetes screening guidelines.To enhance early detection and reduce vision threatening complications,there has been a growing number of teleophthalmology programs and novel AI algorithms with the aim to improve eye care access.The purpose of this review is to assess current literature on teleophthalmology and AI for use in diabetic retinopathy(DR)screening,and to discuss advances and barriers to these innovative technologies.Methods:Literature review involving teleophthalmology and AI for DR screening,with focus on the past decade.Key Content and Findings:Teleophthalmology has demonstrated the ability to increase DR screening rates,enable earlier eye care access,and reduce healthcare costs.Novel AI-based DR screening programs appear accurate and effective,but detection of other ocular pathologies is still under development and not yet approved in the United States.Logistical,technological,financial,and legal barriers limit widespread adoption and long-term sustainability of teleophthalmology programs.Conclusions:The use of teleophthalmology and AI algorithms expands eye care access and helps prevent vision loss from DR and potentially other sight threatening conditions.Transparency in the process utilized for arriving at a particular diagnosis or decision to refer,often referred to as the“black box”,remains a multifaceted issue within the field of telemedicine for developing trust and improving patient-centered outcomes.

关 键 词：Teleophthalmology artificial intelligence(AI) diabetic retinopathy(DR) SCREENING public health 

分 类 号：R587.2[医药卫生—内分泌] R774.1[医药卫生—内科学]