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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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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. |
format | Online Article Text |
id | pubmed-9829296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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