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Artificial intelligence in musculoskeletal ultrasound imaging
Ultrasonography (US) is noninvasive and offers real-time, low-cost, and portable imaging that facilitates the rapid and dynamic assessment of musculoskeletal components. Significant technological improvements have contributed to the increasing adoption of US for musculoskeletal assessments, as artif...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Ultrasound in Medicine
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758096/ https://www.ncbi.nlm.nih.gov/pubmed/33242932 http://dx.doi.org/10.14366/usg.20080 |
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author | Shin, YiRang Yang, Jaemoon Lee, Young Han Kim, Sungjun |
author_facet | Shin, YiRang Yang, Jaemoon Lee, Young Han Kim, Sungjun |
author_sort | Shin, YiRang |
collection | PubMed |
description | Ultrasonography (US) is noninvasive and offers real-time, low-cost, and portable imaging that facilitates the rapid and dynamic assessment of musculoskeletal components. Significant technological improvements have contributed to the increasing adoption of US for musculoskeletal assessments, as artificial intelligence (AI)-based computer-aided detection and computer-aided diagnosis are being utilized to improve the quality, efficiency, and cost of US imaging. This review provides an overview of classical machine learning techniques and modern deep learning approaches for musculoskeletal US, with a focus on the key categories of detection and diagnosis of musculoskeletal disorders, predictive analysis with classification and regression, and automated image segmentation. Moreover, we outline challenges and a range of opportunities for AI in musculoskeletal US practice. |
format | Online Article Text |
id | pubmed-7758096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Society of Ultrasound in Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-77580962021-01-05 Artificial intelligence in musculoskeletal ultrasound imaging Shin, YiRang Yang, Jaemoon Lee, Young Han Kim, Sungjun Ultrasonography Special Review of Artifical Intelligence (Part 1) Ultrasonography (US) is noninvasive and offers real-time, low-cost, and portable imaging that facilitates the rapid and dynamic assessment of musculoskeletal components. Significant technological improvements have contributed to the increasing adoption of US for musculoskeletal assessments, as artificial intelligence (AI)-based computer-aided detection and computer-aided diagnosis are being utilized to improve the quality, efficiency, and cost of US imaging. This review provides an overview of classical machine learning techniques and modern deep learning approaches for musculoskeletal US, with a focus on the key categories of detection and diagnosis of musculoskeletal disorders, predictive analysis with classification and regression, and automated image segmentation. Moreover, we outline challenges and a range of opportunities for AI in musculoskeletal US practice. Korean Society of Ultrasound in Medicine 2021-01 2020-09-06 /pmc/articles/PMC7758096/ /pubmed/33242932 http://dx.doi.org/10.14366/usg.20080 Text en Copyright © 2021 Korean Society of Ultrasound in Medicine (KSUM) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Review of Artifical Intelligence (Part 1) Shin, YiRang Yang, Jaemoon Lee, Young Han Kim, Sungjun Artificial intelligence in musculoskeletal ultrasound imaging |
title | Artificial intelligence in musculoskeletal ultrasound imaging |
title_full | Artificial intelligence in musculoskeletal ultrasound imaging |
title_fullStr | Artificial intelligence in musculoskeletal ultrasound imaging |
title_full_unstemmed | Artificial intelligence in musculoskeletal ultrasound imaging |
title_short | Artificial intelligence in musculoskeletal ultrasound imaging |
title_sort | artificial intelligence in musculoskeletal ultrasound imaging |
topic | Special Review of Artifical Intelligence (Part 1) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758096/ https://www.ncbi.nlm.nih.gov/pubmed/33242932 http://dx.doi.org/10.14366/usg.20080 |
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