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视网膜远程医疗

Retinal Telemedicine.

作者信息

Chee Ru-Ik, Darwish Dana, Fernandez-Vega Alvaro, Patel Samir, Jonas Karyn, Ostmo Susan, Campbell J Peter, Chiang Michael F, Chan Rv Paul

机构信息

Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.

Department of Ophthalmology, Wills Eye Hospital, Oregon Health & Science University, Portland, OR, United States.

出版信息

Curr Ophthalmol Rep. 2018 Mar;6(1):36-45. doi: 10.1007/s40135-018-0161-8. Epub 2018 Jan 29.

DOI:10.1007/s40135-018-0161-8
PMID:30140593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6101043/
Abstract

PURPOSE OF REVIEW

An update and overview of the literature on current telemedicine applications in retina.

RECENT FINDINGS

The application of telemedicine to the field of Ophthalmology and Retina has been growing with advancing technologies in ophthalmic imaging. Retinal telemedicine has been most commonly applied to diabetic retinopathy and retinopathy of prematurity in adult and pediatric patients respectively. Telemedicine has the potential to alleviate the growing demand for clinical evaluation of retinal diseases. Subsequently, automated image analysis and deep learning systems may facilitate efficient processing of large, increasing numbers of images generated in telemedicine systems. Telemedicine may additionally improve access to education and standardized training through tele-education systems.

SUMMARY

Telemedicine has the potential to be utilized as a useful adjunct but not a complete replacement for physical clinical examinations. Retinal telemedicine programs should be carefully and appropriately integrated into current clinical systems.

摘要

综述目的

对当前视网膜远程医疗应用的文献进行更新和概述。

最新发现

随着眼科成像技术的进步,远程医疗在眼科和视网膜领域的应用不断增加。视网膜远程医疗最常用于成人糖尿病视网膜病变和儿童早产儿视网膜病变。远程医疗有可能缓解对视网膜疾病临床评估日益增长的需求。随后,自动图像分析和深度学习系统可能有助于高效处理远程医疗系统中产生的大量且不断增加的图像。远程医疗还可通过远程教育系统改善教育机会和标准化培训。

总结

远程医疗有潜力作为一种有用的辅助手段,但不能完全替代体格检查。视网膜远程医疗项目应谨慎且适当地整合到当前临床系统中。

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Retinal Telemedicine.视网膜远程医疗
Curr Ophthalmol Rep. 2018 Mar;6(1):36-45. doi: 10.1007/s40135-018-0161-8. Epub 2018 Jan 29.
2
The Role of Retinal Imaging and Portable Screening Devices in Tele-ophthalmology Applications for Diabetic Retinopathy Management.视网膜成像和便携式筛查设备在糖尿病视网膜病变管理的远程眼科应用中的作用。
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Telemedicine-based digital retinal imaging vs standard ophthalmologic evaluation for the assessment of diabetic retinopathy.基于远程医疗的数字视网膜成像与标准眼科评估在糖尿病视网膜病变评估中的比较
Conn Med. 2012 Feb;76(2):85-90.
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Diabetic retinopathy screening and the use of telemedicine.糖尿病视网膜病变筛查与远程医疗的应用
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The future application of artificial intelligence and telemedicine in the retina: A perspective.人工智能与远程医疗在视网膜疾病中的未来应用:一种观点
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Automated retinal image analysis for diabetic retinopathy in telemedicine.远程医疗中糖尿病视网膜病变的自动化视网膜图像分析
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Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine.远程医疗中用于糖尿病视网膜病变筛查的彩色眼底图像的自动化质量评估。
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Clin Ophthalmol. 2023 Jun 20;17:1739-1754. doi: 10.2147/OPTH.S389111. eCollection 2023.
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Changes in Retina Practice Patterns During the COVID-19 Pandemic in the Philippines.菲律宾新冠疫情期间视网膜诊疗模式的变化
Clin Ophthalmol. 2021 Aug 16;15:3493-3504. doi: 10.2147/OPTH.S326594. eCollection 2021.
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J Curr Ophthalmol. 2021 Jul 5;33(2):101-103. doi: 10.4103/joco.joco_140_21. eCollection 2021 Apr-Jun.
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Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration.深度学习对于正常与年龄相关性黄斑变性的光学相干断层扫描(OCT)图像分类很有效。
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Are we making good use of our public resources? The false-positive rate of screening by fundus photography for diabetic macular oedema.我们是否在充分利用公共资源?眼底照相筛查糖尿病性黄斑水肿的假阳性率。
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Automated Identification of Diabetic Retinopathy Using Deep Learning.基于深度学习的糖尿病视网膜病变自动识别。
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Automated Diabetic Retinopathy Image Assessment Software: Diagnostic Accuracy and Cost-Effectiveness Compared with Human Graders.自动化糖尿病视网膜病变图像评估软件:与人工分级相比的诊断准确性和成本效益。
Ophthalmology. 2017 Mar;124(3):343-351. doi: 10.1016/j.ophtha.2016.11.014. Epub 2016 Dec 23.
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An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness.一项观察性研究,旨在评估糖尿病视网膜病变图像自动评估软件是否可以取代手动图像分级的一个或多个步骤,并确定其成本效益。
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