Saudi Cultural Missions Theses & Dissertations
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Item 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, MarkA 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.64 0Item Restricted Population Variations in Ankle Complex Structure Using MachineLearning 3D-MRI Statistical Shape Modelling and Implications for Osteoarthritis: The Newcastle Thousand Families Study Cohort(newcastle universaty, 2023-06-09) Mohammed, Esa; Birrell, FraserBackground: Osteoarthritis (OA) is the most common joint condition. Although risk factors are well-recognised, the underlying pathogenesis is not fully understood. OA may be linked to biomechanics and force distribution during activities, with the ankle playing a crucial role in absorbing and transferring lower-limb forces. The ankle is structurally complex and understudied. Further understanding of ankle morphology could lead to better prevention of, and treatments for OA. This study aims to reconstruct Three-dimensional Statistical Shape Models (3D-SSM) from ankle MRIs, identify key ankle morphological features and explore their inter-relation to OA in the Newcastle Thousand Families birth cohort. Methods: Prospectively collected data from 206 cohort participants aged 62 was used: 3D-SSM were built using ankle MRI images to quantify morphological features (bone shape/area, and joint space widths (JSW)) of ankle bones and joints. Sex differences, presence/absence of knee/hip OA, and associations between quantified morphological features and other clinical variables (body anthropometry, bone mineral density (BMD), and self-reported questionnaire data) were analysed. Results: This study found significant sex differences in ankle morphology, with females having smaller JSW, bone area, and thinner bone shapes. Knee OA showed a pes-plan foot bone shape while the hip OA had pes-cavus. Positive associations were found between ankle JSW and BMD. Subtalar posterior JSW showed a positive association with knee JSW. Several ankle JSWs showed a positive association with hip JSW in males only. Participants with hip/knee OA have smaller ankle JSWs compared to others. Conclusions: This is the first study using novel machine-learning techniques simplifying morphological complexity to examine ankle structure and its association with OA, using a population birth cohort. Results showed significant associations between ankle morphology and OA. This indicates ankle morphology may have direct effects on knee and hip OA through gait and mechanical force distribution. However, further studies are needed to confirm this hypothesis, which could be tested in subsequent reviews of this cohort14 0