围绕 LIBR 软组织变形矫正算法，我们建立了一套涵盖感知、计算、协作的完整 Surgical Spatial AI 平台。Around the LIBR deformation correction algorithm, we've built a complete Surgical Spatial AI platform spanning perception, cognition, and collaboration.
软组织手术导航最难的一步，就是在术中实时校正"术前影像和真实组织对不上"的偏差。这个问题十年没人真正解决 —— 我们用 LIBR 算法做出了行业里第一个能跨越临床可用线（5mm 以内）的方案。The hardest problem in soft-tissue navigation is real-time intraoperative correction — preop imaging never matches the deformed reality. For a decade, no one has truly solved it. LIBR is the first published method to cross the 5mm clinical usability threshold.
自研外部反射参考工具技术，独立于头显惯导系统的固定世界坐标系 —— 即使医生大幅活动，全息内容保持毫米级稳定。Proprietary external reflective reference tools establish a world coordinate system independent of headset IMU drift — holograms stay millimeter-stable even during heavy surgeon motion.
基于头戴 AHAT 深度相机和自研算法的无标记、亚毫米级跟踪 —— 无需额外硬件即可获得高精度数据。Markerless sub-millimeter tracking via headset AHAT depth + proprietary algorithms — no extra hardware needed.
SAM 2 自动分割 + 三路重建融合（原生深度流 / Depth Anything V3 / 非刚性融合）—— 业内首个 Magic Leap 2 上完整跑通的术中肝表面流水线。SAM 2 auto-segmentation + tri-path reconstruction (native depth / Depth Anything V3 / non-rigid fusion) — the first complete intraoperative liver surface pipeline on Magic Leap 2.
LIBR / LIBR+ 算法：肝脏 10.4 → 6.1mm（改善 40%+），乳腺 10.4 → 4.2mm，仿体测试 1.7mm —— 行业唯一跨越 5mm 临床可用线的方案。LIBR / LIBR+: liver 10.4 → 6.1mm (40%+ improvement), breast 10.4 → 4.2mm, phantom tests 1.7mm — the only published method below the 5mm clinical line.
KUKA LBR Med / KINOVA Gen3 Med + NDI Polaris Lyra + ZED 2i 多传感器末端。机械臂从"被动设备"变成"主动观察者"，自动重定位、自主避让医生手部。KUKA LBR Med / KINOVA Gen3 Med + NDI Polaris Lyra + ZED 2i sensor head. Transforms the cobot from a passive device into an active observer that auto-repositions and avoids surgeon hands.
乳腺切除后追踪笔扫描标本切面 → 实时切缘距离评估（无需病理科）。肝脏微波消融实时探针轨迹 + 距靶点测量 + 消融区预测可视化。Breast: track-pen surface scan → real-time margin assessment without pathology lab. Liver MWA: live probe trajectory + target distance + ablation zone prediction.
超声从"远端屏幕 2D 切面"升级为"叠加于解剖正确位置的原位三维影像" —— HoloLens 2 上 ~2mm 跟踪精度 + < 16ms 延迟。Ultrasound goes from a 2D slice on a remote screen to an in-situ 3D image at the correct anatomical position — ~2mm tracking accuracy and <16ms latency on HoloLens 2.