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Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia

OBJECTIVES: This study aimed to gain insight into radiographers’ views on the application of artificial intelligence (AI) in Saudi Arabia by conducting a qualitative investigation designed to provide recommendations to assist radiographic workforce improvement. MATERIALS AND METHODS: We conducted an...

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Autor principal: Aldhafeeri, Faten Mane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684377/
https://www.ncbi.nlm.nih.gov/pubmed/36417029
http://dx.doi.org/10.1186/s13244-022-01319-z
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author Aldhafeeri, Faten Mane
author_facet Aldhafeeri, Faten Mane
author_sort Aldhafeeri, Faten Mane
collection PubMed
description OBJECTIVES: This study aimed to gain insight into radiographers’ views on the application of artificial intelligence (AI) in Saudi Arabia by conducting a qualitative investigation designed to provide recommendations to assist radiographic workforce improvement. MATERIALS AND METHODS: We conducted an online cross-sectional online survey of Saudi radiographers regarding perspectives on AI implementation, job security, workforce development, and ethics. RESULTS: In total, 562 valid responses were received. Most respondents (90.6%) believed that AI was the direction of diagnostic imaging. Among the respondents, 88.5% stated that AI would improve the accuracy of diagnosis. Some challenges in implementing AI in Saudi Arabia include the high cost of equipment, inadequate knowledge, radiologists’ fear of losing employment, and concerns related to potential medical errors and cyber threats. CONCLUSION: Radiographers were generally positive about introducing AI to radiology departments. To integrate AI successfully into radiology departments, radiographers need training programs, transparent policies, and motivation.
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spelling pubmed-96843772022-11-25 Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia Aldhafeeri, Faten Mane Insights Imaging Original Article OBJECTIVES: This study aimed to gain insight into radiographers’ views on the application of artificial intelligence (AI) in Saudi Arabia by conducting a qualitative investigation designed to provide recommendations to assist radiographic workforce improvement. MATERIALS AND METHODS: We conducted an online cross-sectional online survey of Saudi radiographers regarding perspectives on AI implementation, job security, workforce development, and ethics. RESULTS: In total, 562 valid responses were received. Most respondents (90.6%) believed that AI was the direction of diagnostic imaging. Among the respondents, 88.5% stated that AI would improve the accuracy of diagnosis. Some challenges in implementing AI in Saudi Arabia include the high cost of equipment, inadequate knowledge, radiologists’ fear of losing employment, and concerns related to potential medical errors and cyber threats. CONCLUSION: Radiographers were generally positive about introducing AI to radiology departments. To integrate AI successfully into radiology departments, radiographers need training programs, transparent policies, and motivation. Springer Vienna 2022-11-22 /pmc/articles/PMC9684377/ /pubmed/36417029 http://dx.doi.org/10.1186/s13244-022-01319-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Aldhafeeri, Faten Mane
Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia
title Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia
title_full Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia
title_fullStr Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia
title_full_unstemmed Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia
title_short Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia
title_sort perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in saudi arabia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684377/
https://www.ncbi.nlm.nih.gov/pubmed/36417029
http://dx.doi.org/10.1186/s13244-022-01319-z
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