Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo
Abstract Objective: To evaluate the impact of artificial intelligence (AI) on undergraduate medical students’ choice of radiology as a specialty. Materials and Methods: In February 2019, an anonymous online survey was sent to medical students. The research contemplated questions on how much studen...
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Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
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doaj-95a07ece98594b0d9fcdafd340b8b89b2020-11-25T03:11:51ZengColégio Brasileiro de Radiologia e Diagnóstico por ImagemRadiologia Brasileira0100-39841678-709953316717010.1590/0100-3984.2019.0101S0100-39842020000300008Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São PauloGabriela Irene Garcia BrandesGiuseppe D’IppolitoAnderson Gusatti AzzoliniGustavo MeirellesAbstract Objective: To evaluate the impact of artificial intelligence (AI) on undergraduate medical students’ choice of radiology as a specialty. Materials and Methods: In February 2019, an anonymous online survey was sent to medical students. The research contemplated questions on how much students think they know about AI technologies, how much AI discourages them from choosing radiology as a specialty, and whether they believe there is a threat to the radiology job market. Results: A total of 101 students, most of them doing their internship, answered the questionnaire. More than half of them (52.5%) said they believe AI poses a threat to the radiology job market, but 64.3% claimed not to have proper knowledge about these new technologies, and 31.7% said they would like more information on the technologies’ operation and progress before making a decision on whether or not to practice radiology as a specialty. Conclusion: A significant proportion of the surveyed students perceive AI as a threat to the radiological practice, which impacts their career choice. However, the majority claims to have insufficient knowledge of it and believes more information is needed for decision-making.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842020000300008&lng=en&tlng=enartificial intelligenceradiologymedical studentseducationspecialty |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabriela Irene Garcia Brandes Giuseppe D’Ippolito Anderson Gusatti Azzolini Gustavo Meirelles |
spellingShingle |
Gabriela Irene Garcia Brandes Giuseppe D’Ippolito Anderson Gusatti Azzolini Gustavo Meirelles Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo Radiologia Brasileira artificial intelligence radiology medical students education specialty |
author_facet |
Gabriela Irene Garcia Brandes Giuseppe D’Ippolito Anderson Gusatti Azzolini Gustavo Meirelles |
author_sort |
Gabriela Irene Garcia Brandes |
title |
Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo |
title_short |
Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo |
title_full |
Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo |
title_fullStr |
Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo |
title_full_unstemmed |
Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo |
title_sort |
impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of são paulo |
publisher |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
series |
Radiologia Brasileira |
issn |
0100-3984 1678-7099 |
description |
Abstract Objective: To evaluate the impact of artificial intelligence (AI) on undergraduate medical students’ choice of radiology as a specialty. Materials and Methods: In February 2019, an anonymous online survey was sent to medical students. The research contemplated questions on how much students think they know about AI technologies, how much AI discourages them from choosing radiology as a specialty, and whether they believe there is a threat to the radiology job market. Results: A total of 101 students, most of them doing their internship, answered the questionnaire. More than half of them (52.5%) said they believe AI poses a threat to the radiology job market, but 64.3% claimed not to have proper knowledge about these new technologies, and 31.7% said they would like more information on the technologies’ operation and progress before making a decision on whether or not to practice radiology as a specialty. Conclusion: A significant proportion of the surveyed students perceive AI as a threat to the radiological practice, which impacts their career choice. However, the majority claims to have insufficient knowledge of it and believes more information is needed for decision-making. |
topic |
artificial intelligence radiology medical students education specialty |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842020000300008&lng=en&tlng=en |
work_keys_str_mv |
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