The perception of artificial intelligence: Insights from MRI technologists in radiology practices

Abstract

ObjectiveAs artificial intelligence (AI) increasingly integrates into healthcare sectors globally, it becomes crucial to examine its impact within specific contexts. This study aims to explore MRI technologists' perceptions towards AI in radiology in Saudi Arabia and to identify the demographic factors influencing these perceptions. MethodologyA cross-sectional survey was conducted among 128 MRI technologists in Saudi Arabian healthcare facilities. The 10-question survey captured key aspects of their perceptions towards AI integration. Statistical analyses using R software included logistic regression to identify significant associations between demographic factors and AI perceptions. Odds ratios (ORs), 95% confidence intervals (CIs), and p-values were computed, with statistical significance set at an alpha level of 0.05. ResultsThe survey results indicated that a significant majority (84.4%) of technologists agree that AI will play a crucial role in the future of radiology. Higher education levels were significantly associated with positive perceptions of AI (OR 1.75, p = 0.028). Male technologists and those aged 40–49 showed more pronounced apprehensions about AI's disruptions. Specifically, the odds ratio for male technologists perceiving AI will disrupt MRI practice was 2.05 (p = 0.009), and for those aged 40–49, the odds ratio was 1.60 (p = 0.013). The odds ratio for male technologists believing AI will disrupt careers was 1.85 (p = 0.012), and for those aged 40–49, it was 1.50 (p = 0.030). Additionally, the odds of believing AI integration will not change their work were significantly higher among males (OR 2.25, p = 0.002). ConclusionThese findings highlight the need for targeted educational programs and support initiatives for MRI technologists in Saudi Arabia. Addressing the concerns of apprehensive groups, particularly older and male technologists, through continuous education and realistic information sessions can facilitate smoother AI integration. These initiatives are essential for aligning AI advancements with Saudi Arabian cultural and professional standards, ensuring a prepared and supportive workforce.