Abstract
Introduction: Artificial intelligence (AI) in medical imaging rapidly expands regarding image processing and interpretation. Therefore, the aim was to explore radiographers’ and radiologists’ perceptions and attitudes towards AI use in medical imaging technologies in Saudi Arabia.
Methods: The survey was distributed online, and responses were collected from 173 participants nationwide. Data analysis was performed using SPSS Statistics (version 27).
Results: The participants scored an average of 1.7, 1.6, and 1.8 on a scale of 1–3 for attitudinal perspectives on clinical application and the positive and negative impact of integrating AI technology in diagnostic radiology. Lack of knowledge (43.9%) and perceived cyber threats (37.7%) were the most cited factors hindering AI implementation in Saudi Arabia.
Conclusion: The radiographers and radiologists in this study had a favorable attitude toward AI integration in diagnostic radiology; nonetheless, concerns were raised about data protection, cyber security, AI-related errors, and decision-making challenges.
Keywords: Artificial intelligence, Diagnostic radiology, Radiographer, Radiologists, CT, US.
Current Medical Imaging
Title:Radiologists’ and Radiographers’ Perspectives on Artificial Intelligence in Medical Imaging in Saudi Arabia
Volume: 20
Author(s): Ali S. Alyami*, Naif A. Majrashi and Nasser A. Shubayr
Affiliation:
- Diagnostic Radiography Technology (DRT) Department, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
Keywords: Artificial intelligence, Diagnostic radiology, Radiographer, Radiologists, CT, US.
Abstract:
Introduction: Artificial intelligence (AI) in medical imaging rapidly expands regarding image processing and interpretation. Therefore, the aim was to explore radiographers’ and radiologists’ perceptions and attitudes towards AI use in medical imaging technologies in Saudi Arabia.
Methods: The survey was distributed online, and responses were collected from 173 participants nationwide. Data analysis was performed using SPSS Statistics (version 27).
Results: The participants scored an average of 1.7, 1.6, and 1.8 on a scale of 1–3 for attitudinal perspectives on clinical application and the positive and negative impact of integrating AI technology in diagnostic radiology. Lack of knowledge (43.9%) and perceived cyber threats (37.7%) were the most cited factors hindering AI implementation in Saudi Arabia.
Conclusion: The radiographers and radiologists in this study had a favorable attitude toward AI integration in diagnostic radiology; nonetheless, concerns were raised about data protection, cyber security, AI-related errors, and decision-making challenges.
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Cite this article as:
Alyami S. Ali*, Majrashi A. Naif and Shubayr A. Nasser, Radiologists’ and Radiographers’ Perspectives on Artificial Intelligence in Medical Imaging in Saudi Arabia, Current Medical Imaging 2024; 20 : e15734056250970 . https://dx.doi.org/10.2174/0115734056250970231117111810
DOI https://dx.doi.org/10.2174/0115734056250970231117111810 |
Print ISSN 1573-4056 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6603 |
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