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Cloud Computing for radiologists

Cloud computing is a concept wherein a computer grid is created using the Internet with the sole purpose of utilizing shared resources such as computer software, hardware, on a pay-per-use model. Using Cloud computing, radiology users can efficiently manage multimodality imaging units by using the l...

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Detalles Bibliográficos
Autores principales: Kharat, Amit T, Safvi, Amjad, Thind, SS, Singh, Amarjit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624735/
https://www.ncbi.nlm.nih.gov/pubmed/23599560
http://dx.doi.org/10.4103/0971-3026.107166
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author Kharat, Amit T
Safvi, Amjad
Thind, SS
Singh, Amarjit
author_facet Kharat, Amit T
Safvi, Amjad
Thind, SS
Singh, Amarjit
author_sort Kharat, Amit T
collection PubMed
description Cloud computing is a concept wherein a computer grid is created using the Internet with the sole purpose of utilizing shared resources such as computer software, hardware, on a pay-per-use model. Using Cloud computing, radiology users can efficiently manage multimodality imaging units by using the latest software and hardware without paying huge upfront costs. Cloud computing systems usually work on public, private, hybrid, or community models. Using the various components of a Cloud, such as applications, client, infrastructure, storage, services, and processing power, Cloud computing can help imaging units rapidly scale and descale operations and avoid huge spending on maintenance of costly applications and storage. Cloud computing allows flexibility in imaging. It sets free radiology from the confines of a hospital and creates a virtual mobile office. The downsides to Cloud computing involve security and privacy issues which need to be addressed to ensure the success of Cloud computing in the future.
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spelling pubmed-36247352013-04-18 Cloud Computing for radiologists Kharat, Amit T Safvi, Amjad Thind, SS Singh, Amarjit Indian J Radiol Imaging Computers in Radiology Cloud computing is a concept wherein a computer grid is created using the Internet with the sole purpose of utilizing shared resources such as computer software, hardware, on a pay-per-use model. Using Cloud computing, radiology users can efficiently manage multimodality imaging units by using the latest software and hardware without paying huge upfront costs. Cloud computing systems usually work on public, private, hybrid, or community models. Using the various components of a Cloud, such as applications, client, infrastructure, storage, services, and processing power, Cloud computing can help imaging units rapidly scale and descale operations and avoid huge spending on maintenance of costly applications and storage. Cloud computing allows flexibility in imaging. It sets free radiology from the confines of a hospital and creates a virtual mobile office. The downsides to Cloud computing involve security and privacy issues which need to be addressed to ensure the success of Cloud computing in the future. Medknow Publications & Media Pvt Ltd 2012 /pmc/articles/PMC3624735/ /pubmed/23599560 http://dx.doi.org/10.4103/0971-3026.107166 Text en Copyright: © Indian Journal of Radiology and Imaging http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computers in Radiology
Kharat, Amit T
Safvi, Amjad
Thind, SS
Singh, Amarjit
Cloud Computing for radiologists
title Cloud Computing for radiologists
title_full Cloud Computing for radiologists
title_fullStr Cloud Computing for radiologists
title_full_unstemmed Cloud Computing for radiologists
title_short Cloud Computing for radiologists
title_sort cloud computing for radiologists
topic Computers in Radiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624735/
https://www.ncbi.nlm.nih.gov/pubmed/23599560
http://dx.doi.org/10.4103/0971-3026.107166
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