AI MSK clinical applications: spine imaging

Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or spe...

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Detalles Bibliográficos
Autores principales: Huber, Florian A., Guggenberger, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692301/
https://www.ncbi.nlm.nih.gov/pubmed/34263344
http://dx.doi.org/10.1007/s00256-021-03862-0
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author Huber, Florian A.
Guggenberger, Roman
author_facet Huber, Florian A.
Guggenberger, Roman
author_sort Huber, Florian A.
collection PubMed
description Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.
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spelling pubmed-86923012022-01-07 AI MSK clinical applications: spine imaging Huber, Florian A. Guggenberger, Roman Skeletal Radiol Review Article Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions. Springer Berlin Heidelberg 2021-07-15 2022 /pmc/articles/PMC8692301/ /pubmed/34263344 http://dx.doi.org/10.1007/s00256-021-03862-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Huber, Florian A.
Guggenberger, Roman
AI MSK clinical applications: spine imaging
title AI MSK clinical applications: spine imaging
title_full AI MSK clinical applications: spine imaging
title_fullStr AI MSK clinical applications: spine imaging
title_full_unstemmed AI MSK clinical applications: spine imaging
title_short AI MSK clinical applications: spine imaging
title_sort ai msk clinical applications: spine imaging
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692301/
https://www.ncbi.nlm.nih.gov/pubmed/34263344
http://dx.doi.org/10.1007/s00256-021-03862-0
work_keys_str_mv AT huberfloriana aimskclinicalapplicationsspineimaging
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