Andrew S H Tsai, Michelle Yip, Amy Song, Gavin S W Tan, Daniel S W Ting, J Peter Campbell, Aaron Coyner, Robison Vernon Paul Chan
{"title":"Implementation of Artificial Intelligence in Retinopathy of Prematurity Care: Challenges and Opportunities.","authors":"Andrew S H Tsai, Michelle Yip, Amy Song, Gavin S W Tan, Daniel S W Ting, J Peter Campbell, Aaron Coyner, Robison Vernon Paul Chan","doi":"10.1097/IIO.0000000000000532","DOIUrl":null,"url":null,"abstract":"<p><p>The diagnosis of retinopathy of prematurity (ROP) is primarily image-based and suitable for implementation of artificial intelligence (AI) systems. Increasing incidence of ROP, especially in low and middle-income countries, has also put tremendous stress on health care systems. Barriers to the implementation of AI include infrastructure, regulatory, legal, cost, sustainability, and scalability. This review describes currently available AI and imaging systems, how a stable telemedicine infrastructure is crucial to AI implementation, and how successful ROP programs have been run in both low and middle-income countries and high-income countries. More work is needed in terms of validating AI systems with different populations with various low-cost imaging devices that have recently been developed. A sustainable and cost-effective ROP screening program is crucial in the prevention of childhood blindness.</p>","PeriodicalId":14338,"journal":{"name":"International Ophthalmology Clinics","volume":"64 4","pages":"9-14"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Ophthalmology Clinics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/IIO.0000000000000532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The diagnosis of retinopathy of prematurity (ROP) is primarily image-based and suitable for implementation of artificial intelligence (AI) systems. Increasing incidence of ROP, especially in low and middle-income countries, has also put tremendous stress on health care systems. Barriers to the implementation of AI include infrastructure, regulatory, legal, cost, sustainability, and scalability. This review describes currently available AI and imaging systems, how a stable telemedicine infrastructure is crucial to AI implementation, and how successful ROP programs have been run in both low and middle-income countries and high-income countries. More work is needed in terms of validating AI systems with different populations with various low-cost imaging devices that have recently been developed. A sustainable and cost-effective ROP screening program is crucial in the prevention of childhood blindness.
期刊介绍：
International Ophthalmology Clinics is a valuable resource for any medical professional seeking to stay informed and up-to-date regarding developments in this dynamic specialty. Each issue of this quarterly publication presents a comprehensive review of a single topic in a new or changing area of ophthalmology. The timely, tightly focused review articles found in this publication give ophthalmologists the opportunity to benefit from the knowledge of leading experts in this rapidly changing field.
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