眼科学中的人工智能。青光眼的发展和进展需要风险计算器吗?

D. A. Dorofeev, V. E. Korelina, A. A. Vitkov, E. V. Kirilik, A. Kuroyedov, K. O. Lukyanova, A. A. Markelova, O. Pozdeeva, A. S. Khohlova
{"title":"眼科学中的人工智能。青光眼的发展和进展需要风险计算器吗?","authors":"D. A. Dorofeev, V. E. Korelina, A. A. Vitkov, E. V. Kirilik, A. Kuroyedov, K. O. Lukyanova, A. A. Markelova, O. Pozdeeva, A. S. Khohlova","doi":"10.53432/2078-4104-2023-22-2-29-37","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is rapidly entering modern medical practice. Many routine clinical tasks, from imaging and automated diagnostics to robotic surgery, cannot be imagined without the use of AI. Neural networks show impressive results when analyzing a large amount of data obtained from standard automated perimetry, optical coherence tomography (OCT) and fundus photography. Currently, both in Russia and abroad mathematical algorithms are being developed that allow detection of glaucoma based on certain signs. This article analyzes the advantages and disadvantages of employing artificial intelligence in ophthalmological practice, discusses the need for careful selection of the criteria and their influence on the accuracy of calculators, considers the specifics of using mathematical analysis in suspected glaucoma, as well as in an already established diagnosis. The article also provides clinical examples of the use of glaucoma risk calculator in the routine practice of an ophthalmologist.","PeriodicalId":129515,"journal":{"name":"National Journal glaucoma","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in ophthalmology. Do we need risk calculators for glaucoma development and progression?\",\"authors\":\"D. A. Dorofeev, V. E. Korelina, A. A. Vitkov, E. V. Kirilik, A. Kuroyedov, K. O. Lukyanova, A. A. Markelova, O. Pozdeeva, A. S. Khohlova\",\"doi\":\"10.53432/2078-4104-2023-22-2-29-37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) is rapidly entering modern medical practice. Many routine clinical tasks, from imaging and automated diagnostics to robotic surgery, cannot be imagined without the use of AI. Neural networks show impressive results when analyzing a large amount of data obtained from standard automated perimetry, optical coherence tomography (OCT) and fundus photography. Currently, both in Russia and abroad mathematical algorithms are being developed that allow detection of glaucoma based on certain signs. This article analyzes the advantages and disadvantages of employing artificial intelligence in ophthalmological practice, discusses the need for careful selection of the criteria and their influence on the accuracy of calculators, considers the specifics of using mathematical analysis in suspected glaucoma, as well as in an already established diagnosis. The article also provides clinical examples of the use of glaucoma risk calculator in the routine practice of an ophthalmologist.\",\"PeriodicalId\":129515,\"journal\":{\"name\":\"National Journal glaucoma\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"National Journal glaucoma\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53432/2078-4104-2023-22-2-29-37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"National Journal glaucoma","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53432/2078-4104-2023-22-2-29-37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)正在迅速进入现代医疗实践。许多常规的临床任务,从成像和自动诊断到机器人手术,如果没有人工智能的使用是无法想象的。神经网络在分析从标准自动视野测量、光学相干断层扫描(OCT)和眼底摄影获得的大量数据时显示出令人印象深刻的结果。目前,俄罗斯和国外都在开发数学算法,可以根据某些体征检测青光眼。本文分析了在眼科实践中使用人工智能的利弊,讨论了仔细选择标准的必要性及其对计算器准确性的影响,考虑了在疑似青光眼以及已经建立的诊断中使用数学分析的具体情况。本文还提供了眼科医生在日常实践中使用青光眼风险计算器的临床实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in ophthalmology. Do we need risk calculators for glaucoma development and progression?
Artificial intelligence (AI) is rapidly entering modern medical practice. Many routine clinical tasks, from imaging and automated diagnostics to robotic surgery, cannot be imagined without the use of AI. Neural networks show impressive results when analyzing a large amount of data obtained from standard automated perimetry, optical coherence tomography (OCT) and fundus photography. Currently, both in Russia and abroad mathematical algorithms are being developed that allow detection of glaucoma based on certain signs. This article analyzes the advantages and disadvantages of employing artificial intelligence in ophthalmological practice, discusses the need for careful selection of the criteria and their influence on the accuracy of calculators, considers the specifics of using mathematical analysis in suspected glaucoma, as well as in an already established diagnosis. The article also provides clinical examples of the use of glaucoma risk calculator in the routine practice of an ophthalmologist.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信