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Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty

The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. Therefore, there is a greater hesitancy by medical students to cho...

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Autores principales: Liu, David Shalom, Abu-Shaban, Kamil, Halabi, Safwan S, Cook, Tessa Sundaram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131993/
https://www.ncbi.nlm.nih.gov/pubmed/36939823
http://dx.doi.org/10.2196/43415
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author Liu, David Shalom
Abu-Shaban, Kamil
Halabi, Safwan S
Cook, Tessa Sundaram
author_facet Liu, David Shalom
Abu-Shaban, Kamil
Halabi, Safwan S
Cook, Tessa Sundaram
author_sort Liu, David Shalom
collection PubMed
description The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. Therefore, there is a greater hesitancy by medical students to choose radiology as a specialty. However, it is in this time of change that the specialty needs new thinkers and leaders. In this succinct viewpoint, 2 medical students involved in AI and 2 radiologists specializing in AI or clinical informatics posit that not only are these fears false, but the field of radiology will be transformed in such a way due to AI that there will be novel reasons to choose radiology. These new factors include greater impact on patient care, new space for innovation, interdisciplinary collaboration, increased patient contact, becoming master diagnosticians, and greater opportunity for global health initiatives, among others. Finally, since medical students view mentorship as a critical resource when deciding their career path, medical educators must also be cognizant of these changes and not give much credence to the prevalent fearmongering. As the field and practice of radiology continue to undergo significant change due to AI, it is urgent and necessary for the conversation to expand from expert to expert to expert to student. Medical students should be encouraged to choose radiology specifically because of the changes brought on by AI rather than being deterred by it.
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spelling pubmed-101319932023-04-27 Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty Liu, David Shalom Abu-Shaban, Kamil Halabi, Safwan S Cook, Tessa Sundaram JMIR Med Educ Viewpoint The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. Therefore, there is a greater hesitancy by medical students to choose radiology as a specialty. However, it is in this time of change that the specialty needs new thinkers and leaders. In this succinct viewpoint, 2 medical students involved in AI and 2 radiologists specializing in AI or clinical informatics posit that not only are these fears false, but the field of radiology will be transformed in such a way due to AI that there will be novel reasons to choose radiology. These new factors include greater impact on patient care, new space for innovation, interdisciplinary collaboration, increased patient contact, becoming master diagnosticians, and greater opportunity for global health initiatives, among others. Finally, since medical students view mentorship as a critical resource when deciding their career path, medical educators must also be cognizant of these changes and not give much credence to the prevalent fearmongering. As the field and practice of radiology continue to undergo significant change due to AI, it is urgent and necessary for the conversation to expand from expert to expert to expert to student. Medical students should be encouraged to choose radiology specifically because of the changes brought on by AI rather than being deterred by it. JMIR Publications 2023-03-20 /pmc/articles/PMC10131993/ /pubmed/36939823 http://dx.doi.org/10.2196/43415 Text en ©David Shalom Liu, Kamil Abu-Shaban, Safwan S Halabi, Tessa Sundaram Cook. Originally published in JMIR Medical Education (https://mededu.jmir.org), 20.03.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on https://mededu.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Liu, David Shalom
Abu-Shaban, Kamil
Halabi, Safwan S
Cook, Tessa Sundaram
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
title Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
title_full Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
title_fullStr Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
title_full_unstemmed Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
title_short Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
title_sort changes in radiology due to artificial intelligence that can attract medical students to the specialty
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131993/
https://www.ncbi.nlm.nih.gov/pubmed/36939823
http://dx.doi.org/10.2196/43415
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