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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...

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Detalles Bibliográficos
Autores principales: Piotrowski, Alexander, Siegel, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2021
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
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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.
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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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