We present an AI-enhanced MRI visualization software, fortified with AI capabilities for auto-segmentation, aiming to revolutionize the field of medical image analysis. Current mainstream software solutions, although comprehensive, lack automated segmentation features. To address this gap, our software integrates pioneering technologies to deliver two key features, (i) multi-view exploration of DICOM images, and (ii) advanced AI-enhanced automated seg- mentation, utilizing deep learning models like MIG U-Net. Man- ual segmentation is time-consuming and potentially inconsistent, but our AI-enhanced auto-segmentation feature streamlines the segmentation process, ensuring both efficiency and consistency. Furthermore, our vision to accommodate customizable models in the future extends its potential applications, thus bridging current gaps and fostering efficiency in medical image analysis.