Keywords
organ deformation
Abstract
Reliable augmented-reality surgical navigation requires accurate modeling of organ deformation, biomechanical constraints, and patient-specific anatomical variation. This topic focuses on prompt-guided biomechanical reasoning for AR navigation, where interactive deformation modeling connects surgical intent, imaging evidence, and biomechanical simulation. Organ deformation modeling is central because intraoperative tissue movement can reduce the reliability of preoperative image registration. Data-driven biomechanics and prompt-based interaction provide a pathway for adapting models to dynamic surgical scenarios. The literature also connects medical device power systems, low-dose imaging, tumor therapy mechanisms, and neurodegenerative disease knowledge mapping, reflecting the broad technical and biomedical infrastructure needed for surgical intelligence systems. Sparse computation supports efficient deformation modeling and graph-based evidence retrieval. Together, these references establish a foundation for AR-guided navigation systems that combine clinical context, imaging, biomechanics, and computational efficiency.
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