Hamd Zuhal Y, Alorainy Amal I, Aldhahi Monira I, Gareeballah Awadia, F Alsubaie Naifah, A Alshanaiber Shahad, S Almudayhesh Nehal, A Alyousef Raneem, A AlNiwaider Reem, A Bin Moammar Lamia, M Abuzaid Mohamed
Department of Radiological Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.
Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.
J Multidiscip Healthc. 2024 Oct 11;17:4745-4756. doi: 10.2147/JMDH.S465508. eCollection 2024.
Artificial Intelligence (AI) is becoming integral to the health sector, particularly radiology, because it enhances diagnostic accuracy and optimizes patient care. This study aims to assess the awareness and acceptance of AI among radiology professionals in Saudi Arabia, identifying the educational and training needs to bridge knowledge gaps and enhance AI-related competencies.
This cross-sectional observational study surveyed radiology professionals across various hospitals in Saudi Arabia. Participants were recruited through multiple channels, including direct invitations, emails, social media, and professional societies. The survey comprised four sections: demographic details, perceptions of AI, knowledge about AI, and willingness to adopt AI in clinical practice.
Out of 374 radiology professionals surveyed, 45.2% acknowledged AI's significant impact on their field. Approximately 44% showed enthusiasm for AI adoption. However, 58.6% reported limited AI knowledge and inadequate training, with 43.6% identifying skill development and the complexity of AI educational programs as major barriers to implementation.
While radiology professionals in Saudi Arabia are generally positive about integrating AI into clinical practice, significant gaps in knowledge and training need to be addressed. Tailored educational programs are essential to fully leverage AI's potential in improving medical imaging practices and patient care outcomes.
人工智能（AI）正成为医疗领域不可或缺的一部分，尤其是在放射学领域，因为它能提高诊断准确性并优化患者护理。本研究旨在评估沙特阿拉伯放射学专业人员对人工智能的认知和接受程度，确定教育和培训需求，以弥合知识差距并增强与人工智能相关的能力。
这项横断面观察性研究对沙特阿拉伯各医院的放射学专业人员进行了调查。通过多种渠道招募参与者，包括直接邀请、电子邮件、社交媒体和专业协会。该调查包括四个部分：人口统计学细节、对人工智能的看法、关于人工智能的知识以及在临床实践中采用人工智能的意愿。
在接受调查的374名放射学专业人员中，45.2%的人承认人工智能对其领域有重大影响。约44%的人对采用人工智能表现出热情。然而，58.6%的人报告称人工智能知识有限且培训不足，43.6%的人认为技能发展和人工智能教育项目的复杂性是实施的主要障碍。
虽然沙特阿拉伯的放射学专业人员总体上对将人工智能整合到临床实践持积极态度，但知识和培训方面的重大差距仍需解决。量身定制的教育项目对于充分发挥人工智能在改善医学影像实践和患者护理结果方面的潜力至关重要。
