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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

    Researchers have developed PINNOCHIO, a new framework using Physics-Informed Neural Networks (PINNs) to simulate facial soft-tissue deformation for orthognathic surgery planning. This approach addresses the accuracy-efficiency trade-off seen in existing methods by decoupling interface movements from volumetric deformation, enabling stable training and biomechanical consistency without requiring full volumetric ground truth. Tested on a cohort of 40 patients, PINNOCHIO demonstrated superior accuracy and physical validity compared to current baselines, offering a significant speedup over traditional Finite Element Methods. AI

    IMPACT Enhances surgical planning accuracy and efficiency by providing a faster, more reliable simulation tool for complex soft-tissue deformations.