Cargando…

Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology

Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Met...

Descripción completa

Detalles Bibliográficos
Autores principales: Alelyani, Magbool, Alamri, Sultan, Alqahtani, Mohammed S., Musa, Alamin, Almater, Hajar, Alqahtani, Nada, Alshahrani, Fay, Alelyani, Salem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307220/
https://www.ncbi.nlm.nih.gov/pubmed/34356212
http://dx.doi.org/10.3390/healthcare9070834
_version_ 1783727998357209088
author Alelyani, Magbool
Alamri, Sultan
Alqahtani, Mohammed S.
Musa, Alamin
Almater, Hajar
Alqahtani, Nada
Alshahrani, Fay
Alelyani, Salem
author_facet Alelyani, Magbool
Alamri, Sultan
Alqahtani, Mohammed S.
Musa, Alamin
Almater, Hajar
Alqahtani, Nada
Alshahrani, Fay
Alelyani, Salem
author_sort Alelyani, Magbool
collection PubMed
description Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.
format Online
Article
Text
id pubmed-8307220
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-83072202021-07-25 Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology Alelyani, Magbool Alamri, Sultan Alqahtani, Mohammed S. Musa, Alamin Almater, Hajar Alqahtani, Nada Alshahrani, Fay Alelyani, Salem Healthcare (Basel) Article Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges. MDPI 2021-07-01 /pmc/articles/PMC8307220/ /pubmed/34356212 http://dx.doi.org/10.3390/healthcare9070834 Text en © 2021 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
Alelyani, Magbool
Alamri, Sultan
Alqahtani, Mohammed S.
Musa, Alamin
Almater, Hajar
Alqahtani, Nada
Alshahrani, Fay
Alelyani, Salem
Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology
title Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology
title_full Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology
title_fullStr Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology
title_full_unstemmed Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology
title_short Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology
title_sort radiology community attitude in saudi arabia about the applications of artificial intelligence in radiology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307220/
https://www.ncbi.nlm.nih.gov/pubmed/34356212
http://dx.doi.org/10.3390/healthcare9070834
work_keys_str_mv AT alelyanimagbool radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT alamrisultan radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT alqahtanimohammeds radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT musaalamin radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT almaterhajar radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT alqahtaninada radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT alshahranifay radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology
AT alelyanisalem radiologycommunityattitudeinsaudiarabiaabouttheapplicationsofartificialintelligenceinradiology