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Magnetic resonance imaging (MRI) is among the most transformative medical technologies; yet its widespread adoption in routine clinical practice remains constrained by high economic and technical barriers.. Recent advances in MRI—such as AI-enabled image reconstruction for accelerated MRI scans, cost-effective manufacturing, and the emergence of portable low-field scanners— are poised to improve accessibility and enhance diagnostic capacity. These advances are expected to be linked to national economic indicators such as the gross domestic product (GDP). This paper reviews recent innovations in MRI and analyzes their relationship to both population health and GDP. The main objective is to estimate the macroeconomic correlation, specifically GDP growth, associated with improved MRI accessibility and diagnostic capacity at the national healthcare and economic output level. Using a health-augmented Cobb–Douglas production framework and integrating data from existing clinical MRI reports into a simplified model, we conservatively estimate that expanded MRI accessibility could generate short-run national output growth in the range of 0.009515% to 0.011678% . Although these short-run gains appear statistically modest, the long-term implications are far more significant. Clinical innovations not only improve healthcare outcomes but also create substantial social and economic returns when considered over extended time horizons. Our findings underscore the importance of sustained investment and research in advanced diagnostic technologies such as MRI, highlighting their dual role in promoting public health and driving economic growth.
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Lee et al. (2025) studied this question.
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