{"title":"深度学习:视网膜人工智能的最新进展。","authors":"Brian E Goldhagen, Hasenin Al-Khersan","doi":"10.1007/s40135-020-00240-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>In the present article, we will provide an understanding and review of artificial intelligence in the subspecialty of retina and its potential applications within the specialty.</p><p><strong>Recent findings: </strong>Given the significant use of diagnostic imaging within retina, this subspecialty is a fitting area for the incorporation of artificial intelligence. Researchers have aimed at creating models to assist in the diagnosis and management of retinal disease as well as in the prediction of disease course and treatment response. Most of this work thus far has focused on diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity, although other retinal diseases have started to be explored as well.</p><p><strong>Summary: </strong>Artificial intelligence is well-suited to transform the practice of ophthalmology. A basic understanding of the technology is important for its effective implementation and growth.</p>","PeriodicalId":10836,"journal":{"name":"Current Ophthalmology Reports","volume":"8 3","pages":"121-128"},"PeriodicalIF":0.9000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40135-020-00240-2","citationCount":"7","resultStr":"{\"title\":\"Diving Deep into Deep Learning: An Update on Artificial Intelligence in Retina.\",\"authors\":\"Brian E Goldhagen, Hasenin Al-Khersan\",\"doi\":\"10.1007/s40135-020-00240-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose of review: </strong>In the present article, we will provide an understanding and review of artificial intelligence in the subspecialty of retina and its potential applications within the specialty.</p><p><strong>Recent findings: </strong>Given the significant use of diagnostic imaging within retina, this subspecialty is a fitting area for the incorporation of artificial intelligence. Researchers have aimed at creating models to assist in the diagnosis and management of retinal disease as well as in the prediction of disease course and treatment response. Most of this work thus far has focused on diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity, although other retinal diseases have started to be explored as well.</p><p><strong>Summary: </strong>Artificial intelligence is well-suited to transform the practice of ophthalmology. A basic understanding of the technology is important for its effective implementation and growth.</p>\",\"PeriodicalId\":10836,\"journal\":{\"name\":\"Current Ophthalmology Reports\",\"volume\":\"8 3\",\"pages\":\"121-128\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s40135-020-00240-2\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Ophthalmology Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40135-020-00240-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/6/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Ophthalmology Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40135-020-00240-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/6/7 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
Diving Deep into Deep Learning: An Update on Artificial Intelligence in Retina.
Purpose of review: In the present article, we will provide an understanding and review of artificial intelligence in the subspecialty of retina and its potential applications within the specialty.
Recent findings: Given the significant use of diagnostic imaging within retina, this subspecialty is a fitting area for the incorporation of artificial intelligence. Researchers have aimed at creating models to assist in the diagnosis and management of retinal disease as well as in the prediction of disease course and treatment response. Most of this work thus far has focused on diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity, although other retinal diseases have started to be explored as well.
Summary: Artificial intelligence is well-suited to transform the practice of ophthalmology. A basic understanding of the technology is important for its effective implementation and growth.
期刊介绍：
This journal aims to offer expert review articles on the most significant recent developments in the field of ophthalmology. By providing clear, insightful, balanced contributions, the journal intends to serve those who diagnose, treat, manage, and prevent ocular conditions and diseases. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas across the field. Section Editors select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An Editorial Board of more than 20 internationally diverse members reviews the annual table of contents, ensures that topics include emerging research, and suggests topics of special importance to their country/region. Topics covered may include age-related macular degeneration; diabetic retinopathy; dry eye syndrome; glaucoma; pediatric ophthalmology; ocular infections; refractive surgery; and stem cell therapy.
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