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Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide

Artificial intelligence (AI) transforms medical images into high-throughput mineable data. Machine learning algorithms, which can be designed for modeling for lesion detection, target segmentation, disease diagnosis, and prognosis prediction, have markedly promoted precision medicine for clinical de...

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Detalles Bibliográficos
Autores principales: Kuang, Ming, Hu, Hang-Tong, Li, Wei, Chen, Shu-Ling, Lu, Xiao-Zhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222674/
https://www.ncbi.nlm.nih.gov/pubmed/34178622
http://dx.doi.org/10.3389/fonc.2021.631813
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author Kuang, Ming
Hu, Hang-Tong
Li, Wei
Chen, Shu-Ling
Lu, Xiao-Zhou
author_facet Kuang, Ming
Hu, Hang-Tong
Li, Wei
Chen, Shu-Ling
Lu, Xiao-Zhou
author_sort Kuang, Ming
collection PubMed
description Artificial intelligence (AI) transforms medical images into high-throughput mineable data. Machine learning algorithms, which can be designed for modeling for lesion detection, target segmentation, disease diagnosis, and prognosis prediction, have markedly promoted precision medicine for clinical decision support. There has been a dramatic increase in the number of articles, including articles on ultrasound with AI, published in only a few years. Given the unique properties of ultrasound that differentiate it from other imaging modalities, including real-time scanning, operator-dependence, and multi-modality, readers should pay additional attention to assessing studies that rely on ultrasound AI. This review offers the readers a targeted guide covering critical points that can be used to identify strong and underpowered ultrasound AI studies.
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spelling pubmed-82226742021-06-25 Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide Kuang, Ming Hu, Hang-Tong Li, Wei Chen, Shu-Ling Lu, Xiao-Zhou Front Oncol Oncology Artificial intelligence (AI) transforms medical images into high-throughput mineable data. Machine learning algorithms, which can be designed for modeling for lesion detection, target segmentation, disease diagnosis, and prognosis prediction, have markedly promoted precision medicine for clinical decision support. There has been a dramatic increase in the number of articles, including articles on ultrasound with AI, published in only a few years. Given the unique properties of ultrasound that differentiate it from other imaging modalities, including real-time scanning, operator-dependence, and multi-modality, readers should pay additional attention to assessing studies that rely on ultrasound AI. This review offers the readers a targeted guide covering critical points that can be used to identify strong and underpowered ultrasound AI studies. Frontiers Media S.A. 2021-06-10 /pmc/articles/PMC8222674/ /pubmed/34178622 http://dx.doi.org/10.3389/fonc.2021.631813 Text en Copyright © 2021 Kuang, Hu, Li, Chen and Lu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Kuang, Ming
Hu, Hang-Tong
Li, Wei
Chen, Shu-Ling
Lu, Xiao-Zhou
Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide
title Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide
title_full Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide
title_fullStr Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide
title_full_unstemmed Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide
title_short Articles That Use Artificial Intelligence for Ultrasound: A Reader’s Guide
title_sort articles that use artificial intelligence for ultrasound: a reader’s guide
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222674/
https://www.ncbi.nlm.nih.gov/pubmed/34178622
http://dx.doi.org/10.3389/fonc.2021.631813
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