Browsing by Author "Alotaibi, Asma"

Now showing 1 - 1 of 1

Restricted
A cross-sectional survey: Radiographer's knowledge, attitude, and perception towards using artificial intelligence in medical imaging in Saudi Arabia.
(Saudi Digital Library, 2023-12-31) Alotaibi, Asma; Linehan, Mark
A cross-sectional survey: Radiographer's knowledge, attitude, and perception towards using artificial intelligence in medical imaging in Saudi Arabia Abstract Background: Radiography relies heavily on technology. Currently, clinical radiography practices incorporate artificial intelligence (AI) and associated applications to improve patient care. As radiographers are considered the end users of AI technology in radiography, research into their familiarity with and perceptions of AI application in medical imaging is needed in Saudi Arabia. To identify the requirements of effective implementation, proper understanding of radiographers' attitudes and perceptions regarding current and future AI applications is critical. Aim: The aim of this study was to assess the knowledge, perceptions, and attitudes of radiographers towards the use of AI in medical imaging. Methodology: A cross-sectional descriptive survey was conducted in the western region of the KSA using a self-developed questionnaire. The survey targeted 100 radiographers working in 10 hospitals. The data obtained from the questionnaire were analysed using Statistical Package for the Social Sciences version 28. Results: Fifty-two participants answered the questionnaire, achieving a response rate of 52%. Of the radiographers, 42.3% reported that they were aware of AI, and 48.1% expressed enthusiasm about AI integration in radiography. However, they also expressed concerns related to job security, errors or technical issues, the efficiency of AI, using AI in radiography, the role of AI in diagnosis and reporting, employees losing their skills, and the cost of the tools. Conclusion: The study findings indicate a generally favourable attitude towards the integration of AI in medical imaging among radiographers. However, it is important for professional leadership to address radiographers' concerns. Institutions and workplaces must train and educate radiographers about the benefits of AI. By alleviating their fears related to the use of AI and educating them about the benefits of AI, successful adoption may be ensured.
60 0