Dexmedetomidine improves anesthesia of complicated congenital heart disease in infants based on improved magnetic resonance imaging

Abstract

Dexmedetomidine is a very useful anesthetic, and it currently has less improvement in early childhood surgery. In order to study the effect of dexmedetomidine in improving the complex congenital heart surgery in infants and young children, this paper used machine learning algorithm to improve the image, and combined MRI (Magnetic Resonance Imaging) images for diagnostic analysis. At the same time, this paper collected experimental data to carry out algorithm analysis, collected cases to design experiments, used the method proposed in this paper to conduct research, and recorded the research results. Through comparative analysis, the algorithm proposed in this study has certain effects. Moreover, it has been proved that the dexmedetomidine infants have complicated effects in complex anesthesia surgery and can provide theoretical reference for subsequent related research.