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GeoCFNet achieves unprecedented accuracy in estimating confidence fields for robot-assisted ESD, crucial for minimizing surgical complications.
Pathology foundation models excel at clinical tasks, but SpaPath-Bench reveals they differ significantly in their ability to capture the spatial organization of tissues, highlighting a critical gap for spatially-aware applications.
Reasoning could be the key to unlocking true AI copilot potential in surgery, turning robots from mere reactive tools into proactive collaborators.
By combining feed-forward 3D reconstruction with a geometry-aware diffusion model, Leveling3D fills in the gaps in extrapolated novel views, leveling up both 3D reconstruction and generation.
Diffusion models can fill the depth-sensing void in endoscopies, turning unreliable sparse data into robust 3D reconstructions.
