{"title":"[What can machines do?]","authors":"Alexander Piotrowski, 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.
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.