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Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin
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 psychiat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554512/ https://www.ncbi.nlm.nih.gov/pubmed/34729002 http://dx.doi.org/10.1007/s41972-021-00148-4 |
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author | Piotrowski, Alexander Siegel, Fabian |
author_facet | Piotrowski, Alexander Siegel, Fabian |
author_sort | Piotrowski, Alexander |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8554512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-85545122021-10-29 Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin Piotrowski, Alexander Siegel, Fabian J Urol Urogynakologie Originalien 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. Springer Vienna 2021-10-29 2021 /pmc/articles/PMC8554512/ /pubmed/34729002 http://dx.doi.org/10.1007/s41972-021-00148-4 Text en © Springer-Verlag GmbH Austria, ein Teil von Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Originalien Piotrowski, Alexander Siegel, Fabian Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin |
title | Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin |
title_full | Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin |
title_fullStr | Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin |
title_full_unstemmed | Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin |
title_short | Was können die Maschinen?: Praktischer Nutzen von Big Data und Künstlicher Intelligenz in der Medizin |
title_sort | was können die maschinen?: praktischer nutzen von big data und künstlicher intelligenz in der medizin |
topic | Originalien |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554512/ https://www.ncbi.nlm.nih.gov/pubmed/34729002 http://dx.doi.org/10.1007/s41972-021-00148-4 |
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