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Radiological education in the era of artificial intelligence: A review

In the era of artificial intelligence (AI), a great deal of attention is being paid to AI in radiological practice. There are a large number of AI products on the radiological market based on X-rays, computed tomography, magnetic resonance imaging, and ultrasound. AI will not only change the way of...

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Autores principales: Wang, Chao, Xie, Huanhuan, Wang, Shan, Yang, Siyu, Hu, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829296/
https://www.ncbi.nlm.nih.gov/pubmed/36607870
http://dx.doi.org/10.1097/MD.0000000000032518
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author Wang, Chao
Xie, Huanhuan
Wang, Shan
Yang, Siyu
Hu, Ling
author_facet Wang, Chao
Xie, Huanhuan
Wang, Shan
Yang, Siyu
Hu, Ling
author_sort Wang, Chao
collection PubMed
description In the era of artificial intelligence (AI), a great deal of attention is being paid to AI in radiological practice. There are a large number of AI products on the radiological market based on X-rays, computed tomography, magnetic resonance imaging, and ultrasound. AI will not only change the way of radiological practice but also the way of radiological education. It is still not clearly defined about the exact role AI will play in radiological practice, but it will certainly be consolidated into radiological education in the foreseeable future. However, there are few literatures that have comprehensively summarized the attitudes, opportunities and challenges that AI can pose in the different training phases of radiologists, from university education to continuing education. Herein, we describe medical students’ attitudes towards AI, summarize the role of AI in radiological education, and analyze the challenges that AI can pose in radiological education.
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spelling pubmed-98292962023-01-24 Radiological education in the era of artificial intelligence: A review Wang, Chao Xie, Huanhuan Wang, Shan Yang, Siyu Hu, Ling Medicine (Baltimore) 6800 In the era of artificial intelligence (AI), a great deal of attention is being paid to AI in radiological practice. There are a large number of AI products on the radiological market based on X-rays, computed tomography, magnetic resonance imaging, and ultrasound. AI will not only change the way of radiological practice but also the way of radiological education. It is still not clearly defined about the exact role AI will play in radiological practice, but it will certainly be consolidated into radiological education in the foreseeable future. However, there are few literatures that have comprehensively summarized the attitudes, opportunities and challenges that AI can pose in the different training phases of radiologists, from university education to continuing education. Herein, we describe medical students’ attitudes towards AI, summarize the role of AI in radiological education, and analyze the challenges that AI can pose in radiological education. Lippincott Williams & Wilkins 2023-01-06 /pmc/articles/PMC9829296/ /pubmed/36607870 http://dx.doi.org/10.1097/MD.0000000000032518 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 6800
Wang, Chao
Xie, Huanhuan
Wang, Shan
Yang, Siyu
Hu, Ling
Radiological education in the era of artificial intelligence: A review
title Radiological education in the era of artificial intelligence: A review
title_full Radiological education in the era of artificial intelligence: A review
title_fullStr Radiological education in the era of artificial intelligence: A review
title_full_unstemmed Radiological education in the era of artificial intelligence: A review
title_short Radiological education in the era of artificial intelligence: A review
title_sort radiological education in the era of artificial intelligence: a review
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829296/
https://www.ncbi.nlm.nih.gov/pubmed/36607870
http://dx.doi.org/10.1097/MD.0000000000032518
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