MRIMath i2Contour, an AI designed cyber device to enhance the efficiency and accuracy of glioblastoma (GBM) management. This innovative tool can save physicians up to an hour per imaging study, significantly reducing bottlenecks in contouring and accelerating patient care. 1. Time-Saving Efficiency: Reduces GBM labeling and volume measurement time by up to an hour, addressing a critical bottleneck. 2. Secure Cyber Device: Compliant with FDA security measures for safe medical data management. 3. Collaborative Team Spaces: Optimizes workflow within and across institutions, rural and urban, enhancing access to healthcare and multidisciplinary coordination. 4. Accurate AI Labeling: Provides precise labeling of GBM magnetic resonance imaging (MRI) FLAIR and T1 contrast (T1c) sequences to support clinical decision-making. 5. Smart Manual Contouring: Lowers inter-user variability and facilitates easy review and approval processes. 6. Volume Measurement and Plotting: Offers essential tools for precise monitoring over time and treatment planning. 7. DICOM Viewer. MRIMath AI models yielded an excellent labeling accuracy of 95% for T1c and 92% for FLAIR that align with radiologists’ scores in accuracy testing submitted to the FDA. The MRIMath Smart manual contouring platform demonstrated under 5% inter-user variability between radiologists for T1c and under 10% for FLAIR sequences. Furthermore, the AI models produced precise volume measurements and variability scores that align very closely with those measured by radiologists.