Animal trials revealed a 16% improvement in margin accuracy and reduced resection times, suggesting AR’s vital role.
Tumor resection requires sub-millimeter guidance for margin preservation. We developed an AR headset system with depth-based markerless registration, integrating SLAM-based tracking and GAN-enhanced depth refinement. Tumor boundaries are visualized in real time via CT-to-surface registration. In 8 animal trials, margin accuracy improved from 78% (baseline) to 94%, with mean resection time reduced by 18%. Residual tumor volume decreased by 30%, and system latency remained below 40 ms. The platform demonstrates clinical potential for precision-guided oncology surgery.
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Robertson et al. (2025) studied this question.
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