[What can machines do?]

Q4 Medicine
Journal fur Urologie und Urogynakologie Pub Date : 2021-01-01 Epub Date: 2021-10-29 DOI:10.1007/s41972-021-00148-4
Alexander Piotrowski, Fabian Siegel
{"title":"[What can machines do?]","authors":"Alexander Piotrowski,&nbsp;Fabian Siegel","doi":"10.1007/s41972-021-00148-4","DOIUrl":null,"url":null,"abstract":"<p><p>With increasing computing and storage capacity, the application of big data and artificial intelligence (AI) is almost inexorably finding its way into medicine. The main areas of application so far have been in radiology and pathology, as well as in other areas such as genome sequencing and psychiatry. By evaluating ever larger amounts of data, patterns are sought that can make physicians' work easier by making a preselection. In addition, efforts are being made to uncover previously unrecognized connections. Large amounts of data are recorded by the patients themselves using so-called wearables. How can this data be used meaningfully? What are the dangers? Efforts are also being made in urology to improve the treatment of urinary tract infections and kidney stones, for example, through the use of networked computer systems. Great progress can be expected in the next few years in the field of big data and AI. An enormous expansion of the areas of application is going to come; as such, we are only at the beginning of the development.</p>","PeriodicalId":38849,"journal":{"name":"Journal fur Urologie und Urogynakologie","volume":"28 4","pages":"124-129"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554512/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal fur Urologie und Urogynakologie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41972-021-00148-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/29 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

With increasing computing and storage capacity, the application of big data and artificial intelligence (AI) is almost inexorably finding its way into medicine. The main areas of application so far have been in radiology and pathology, as well as in other areas such as genome sequencing and psychiatry. By evaluating ever larger amounts of data, patterns are sought that can make physicians' work easier by making a preselection. In addition, efforts are being made to uncover previously unrecognized connections. Large amounts of data are recorded by the patients themselves using so-called wearables. How can this data be used meaningfully? What are the dangers? Efforts are also being made in urology to improve the treatment of urinary tract infections and kidney stones, for example, through the use of networked computer systems. Great progress can be expected in the next few years in the field of big data and AI. An enormous expansion of the areas of application is going to come; as such, we are only at the beginning of the development.

Abstract Image

Abstract Image

机器能做什么?]
随着计算和存储容量的增加,大数据和人工智能(AI)的应用几乎不可阻挡地进入医学领域。到目前为止,主要的应用领域是放射学和病理学,以及其他领域,如基因组测序和精神病学。通过评估越来越多的数据,人们找到了一种模式,可以通过预选使医生的工作更容易。此外,人们正在努力发现以前未被认识到的联系。患者自己使用所谓的可穿戴设备记录大量数据。如何有意义地使用这些数据?危险是什么?泌尿科也在努力改善尿路感染和肾结石的治疗,例如,通过使用网络计算机系统。未来几年,大数据和人工智能领域有望取得巨大进展。应用领域的巨大扩展即将到来;正因为如此,我们才刚刚开始发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal fur Urologie und Urogynakologie
Journal fur Urologie und Urogynakologie Medicine-Obstetrics and Gynecology
CiteScore
0.20
自引率
0.00%
发文量
25
期刊介绍: Das Journal für Urologie und Urogynäkologie veröffentlicht Originalarbeiten, Übersichten, Fallberichte, Kurzberichte sowie Kommentare aus allen Bereichen, die die Urologie und Urogynäkologie betreffen. Das Journal versteht sich als praxisorientiertes Fortbildungsmagazin und möchte Aktualität und Wissen vermitteln. Namhafte Expert*innen kommen zu Wort und beleuchten Schwerpunkte des Praxisalltags. Dadurch soll die Einbindung neuester Erkenntnisse in die tägliche Routinearbeit erleichtert werden.
×
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:604180095
Book学术官方微信