CardioVis AI Copilot
Anatomy-Guided Navigation
Follow the safest path with structure-aware guidance
Follow the safest path with structure-aware guidance
CardioVis maps instrument motion against expert trajectories and shows subtle correction cues directly in the operative view, so teams can stay precise without context switching.
Expert-derived paths define the safest route for each key maneuver.
Pose and orientation are scored frame by frame to flag drift early.
Post-case summaries quantify consistency, alignment, and economy of motion.
During ring implantation, CardioVis tracks bite spacing and approach angle in real time. The team can correct small drift before it compounds into downstream variability.
Anatomy-Guided Navigation is built on a cascade of specialised AI modules, each responsible for a distinct stage of the perception-to-guidance pipeline.
Real-time segmentation and bounding-box tracking identify instruments on every frame, providing the foundation for pose estimation.
Neural pose estimation reconstructs 3D position and orientation from the 2D video feed, leveraging known instrument geometry and learned visual features.
A curated library of expert-derived trajectories for each procedure step provides the benchmark against which live motion is compared and scored.
GPU-accelerated overlay compositing renders corridors, deviation scores, and directional cues onto the endoscopic feed with <50 ms total pipeline latency.