Optimizing Radiation Safety in Pediatric DSA:Leveraging Artificial Intelligence for Dose Reduction and Image Quality Enhancement

Digital Subtraction Angiography (DSA) stands as a cornerstone in the diagnosis and treatment of vascular abnormalities in pediatric patients, providing clinicians with invaluable insights into vascular anatomy and pathology[1,2]. However, the indispensable utility of DSA is accompanied by inherent risks, most notably, exposure to ionizing radiation. Pediatric populations, in particular, are uniquely susceptible to the detrimental effects of radiation, given their heightened sensitivity and longer life expectancy, which increases the likelihood of radiation-induced malignancies over time.