Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

远程医疗 远程医疗 大流行 工作流程 黄斑变性 计算机科学 验光服务 医疗保健 医学 2019年冠状病毒病(COVID-19) 眼科 政治学 病理 疾病 数据库 传染病(医学专业) 法学
作者
Ji-Peng Olivia Li,Hanruo Liu,Darren Shu Jeng Ting,Sohee Jeon,R.V. Paul Chan,Judy E. Kim,Dawn A. Sim,Peter Thomas,Haotian Lin,Youxin Chen,Taiji Sakomoto,Anat Loewenstein,Dennis S.C. Lam,Louis R. Pasquale,Tien Yin Wong,Linda A. Lam,Daniel Shu Wei Ting
出处
期刊:Progress in Retinal and Eye Research [Elsevier BV]
卷期号:82: 100900-100900 被引量:612
标识
DOI:10.1016/j.preteyeres.2020.100900
摘要

The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to models of care using tele-health supported by digital innovations. These digital innovations include artificial intelligence (AI), 5th generation (5G) telecommunication networks and the Internet of Things (IoT), creating an inter-dependent ecosystem offering opportunities to develop models of eye care addressing the challenges of COVID-19 and beyond. Ophthalmology has thrived in some of these areas partly due to its many image-based investigations. Tele-health and AI provide synchronous solutions to challenges facing ophthalmologists and healthcare providers worldwide. This article reviews how countries across the world have utilised these digital innovations to tackle diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, glaucoma, refractive error correction, cataract and other anterior segment disorders. The review summarises the digital strategies that countries are developing and discusses technologies that may increasingly enter the clinical workflow and processes of ophthalmologists. Furthermore as countries around the world have initiated a series of escalating containment and mitigation measures during the COVID-19 pandemic, the delivery of eye care services globally has been significantly impacted. As ophthalmic services adapt and form a new normal, the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed. Finally, challenges for validation and clinical implementation are considered, as well as recommendations on future directions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
远山等故归完成签到,获得积分10
刚刚
顾矜应助周周采纳,获得10
刚刚
可可完成签到,获得积分10
1秒前
1秒前
1秒前
悠木完成签到 ,获得积分10
1秒前
bkagyin应助辞树采纳,获得10
1秒前
香蕉觅云应助aajhajkahna采纳,获得10
1秒前
wenlon完成签到,获得积分10
2秒前
2秒前
Lucas应助清秀书兰采纳,获得10
2秒前
潇湘学术发布了新的文献求助10
2秒前
自然的从彤完成签到,获得积分10
3秒前
popkeke完成签到,获得积分10
3秒前
Teen发布了新的文献求助20
3秒前
4秒前
DZZH完成签到 ,获得积分10
4秒前
yu发布了新的文献求助10
4秒前
慕青应助可可采纳,获得10
4秒前
4秒前
4秒前
4秒前
李健应助JERR采纳,获得10
5秒前
5秒前
Sajid完成签到,获得积分10
6秒前
Orange应助超帅的黄采纳,获得10
6秒前
陈龙发布了新的文献求助10
6秒前
6秒前
科研通AI6.4应助25采纳,获得10
6秒前
6秒前
6秒前
Akuma丶完成签到,获得积分10
6秒前
SciGPT应助xldongcn采纳,获得10
7秒前
7秒前
rio发布了新的文献求助10
7秒前
鲁酷完成签到,获得积分10
7秒前
7秒前
光亮宛秋发布了新的文献求助200
7秒前
ohu发布了新的文献求助30
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Social Psychology 600
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7646758
求助须知:如何正确求助?哪些是违规求助? 9219078
关于积分的说明 19784347
捐赠科研通 7211712
什么是DOI,文献DOI怎么找? 3277190
关于科研通互助平台的介绍 2438693
邀请新用户注册赠送积分活动 2275419