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Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think?
The rise of artificial intelligence (AI) in medicine, and particularly in radiology, is becoming increasingly prominent. Its impact will transform the way the specialty is practiced and the current and future education model. The aim of this study is to analyze the perception that undergraduate medi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867061/ https://www.ncbi.nlm.nih.gov/pubmed/36674348 http://dx.doi.org/10.3390/ijerph20021589 |
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author | Barreiro-Ares, Andrés Morales-Santiago, Annia Sendra-Portero, Francisco Souto-Bayarri, Miguel |
author_facet | Barreiro-Ares, Andrés Morales-Santiago, Annia Sendra-Portero, Francisco Souto-Bayarri, Miguel |
author_sort | Barreiro-Ares, Andrés |
collection | PubMed |
description | The rise of artificial intelligence (AI) in medicine, and particularly in radiology, is becoming increasingly prominent. Its impact will transform the way the specialty is practiced and the current and future education model. The aim of this study is to analyze the perception that undergraduate medical students have about the current situation of AI in medicine, especially in radiology. A survey with 17 items was distributed to medical students between 3 January to 31 March 2022. Two hundred and eighty-one students correctly responded the questionnaire; 79.3% of them claimed that they knew what AI is. However, their objective knowledge about AI was low but acceptable. Only 24.9% would choose radiology as a specialty, and only 40% of them as one of their first three options. The applications of this technology were valued positively by most students, who give it an important Support Role, without fear that the radiologist will be replaced by AI (79.7%). The majority (95.7%) agreed with the need to implement well-established ethical principles in AI, and 80% valued academic training in AI positively. Surveyed medical students have a basic understanding of AI and perceive it as a useful tool that will transform radiology. |
format | Online Article Text |
id | pubmed-9867061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98670612023-01-22 Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? Barreiro-Ares, Andrés Morales-Santiago, Annia Sendra-Portero, Francisco Souto-Bayarri, Miguel Int J Environ Res Public Health Article The rise of artificial intelligence (AI) in medicine, and particularly in radiology, is becoming increasingly prominent. Its impact will transform the way the specialty is practiced and the current and future education model. The aim of this study is to analyze the perception that undergraduate medical students have about the current situation of AI in medicine, especially in radiology. A survey with 17 items was distributed to medical students between 3 January to 31 March 2022. Two hundred and eighty-one students correctly responded the questionnaire; 79.3% of them claimed that they knew what AI is. However, their objective knowledge about AI was low but acceptable. Only 24.9% would choose radiology as a specialty, and only 40% of them as one of their first three options. The applications of this technology were valued positively by most students, who give it an important Support Role, without fear that the radiologist will be replaced by AI (79.7%). The majority (95.7%) agreed with the need to implement well-established ethical principles in AI, and 80% valued academic training in AI positively. Surveyed medical students have a basic understanding of AI and perceive it as a useful tool that will transform radiology. MDPI 2023-01-16 /pmc/articles/PMC9867061/ /pubmed/36674348 http://dx.doi.org/10.3390/ijerph20021589 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Barreiro-Ares, Andrés Morales-Santiago, Annia Sendra-Portero, Francisco Souto-Bayarri, Miguel Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? |
title | Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? |
title_full | Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? |
title_fullStr | Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? |
title_full_unstemmed | Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? |
title_short | Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? |
title_sort | impact of the rise of artificial intelligence in radiology: what do students think? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867061/ https://www.ncbi.nlm.nih.gov/pubmed/36674348 http://dx.doi.org/10.3390/ijerph20021589 |
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