Medical Imaging Technologies and Healthcare Infrastructure: Artificial Intelligence-Based Analysis of Global Trends

Medical imaging technologies have a critical role in improving healthcare efficiency, diagnosticaccuracy, and patient outcomes. This study investigates the global distribution of advanced medical imag-ing devices such as computed tomography (CT), magnetic resonance imaging (MRI), positron emissiontomography (PET), and mammography across OECD countries between 2015 and 2023 using OECD healthdata. Using correlation and regression analyses, this research explores the relationships between imagingdevice density, healthcare infrastructure capacity, population size, and healthcare expenditures. The analysisreveals a strong positive correlation between imaging device availability and healthcare infrastructure capacity(ρ=0.77), as well as a robust association with population size (ρ=0.87). In contrast, healthcare expendituresdemonstrate a weaker relationship with these variables (ρ≈0.41−0.55), indicating that strategic planningis essential beyond mere budget increases. K-Means clustering and Principal Component Analysis (PCA)categorize countries into distinct groups according to imaging technology availability and infrastructure capacity.Integration of artificial intelligence (AI) within medical imaging is highlighted as a promising approach forenhancing early diagnosis, reducing unnecessary healthcare utilization, and improving operational efficiency.Findings emphasize that effective healthcare policies should focus not only on increasing budgets but also ontargeted resource allocation, infrastructure optimization, and adoption of advanced AI technologies.