Researchers have developed a new AI model for simulating soft tissue deformation and predicting forces in real-time. The model uses data from silicone beams with different stiffness levels to train a graph neural network that can accurately predict deformations and forces across various tissue types and geometries. This technology has potential applications in surgical training, pre-operative planning, and haptic feedback systems. According to the authors, the quality of force prediction is directly tied to the consistency of upstream calibration. --- Why it matters: This matters because accurate soft tissue simulation is crucial for developing realistic surgical training tools and improving pre-operative planning. The ability to predict forces in real-time can also enhance haptic feedback systems, allowing surgeons to better understand tissue behavior during procedures. Source: https://arxiv.org/abs/2608.20967