Patient-specific surgical planning, powered by 3D visualization, has proven transformative for surgical precision and patient outcomes. Until recently, hospitals faced a significant barrier to scaling adoption: the absence of dedicated reimbursement for the substantial time, cost, and expertise required to generate accurate 3D visualizations of patient anatomy. Consequently, hospitals were unable to fully recoup their investments in digital, volumetric patient anatomy representations.

This reimbursement gap has slowed broader adoption of patient-specific medical devices, as the segmentation of CT or MRI scans represents the foundational step toward downstream applications, such as personalized device manufacturing, targeted drug delivery, surgical mapping and navigation, robotic surgery,

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