Data-Driven Organ Deformation Modeling for Orthopedic and Abdominal Surgical Assistance

Keywords

organ deformation
orthopedic surgery
AR navigation

Abstract

Data-driven deformation modeling provides a foundation for reliable surgical assistance when anatomical structures shift during intervention. This topic integrates AR-guided navigation, biomechanical deformation modeling, orthopedic evidence, implant material studies, and postoperative rehabilitation research. Organ deformation models help bridge the gap between preoperative images and intraoperative anatomy, while orthopedic studies provide clinically grounded evidence on surgical outcomes, graft maturity, bone implants, and rehabilitation strategies. Sparse matrix computation supports efficient simulation and graph-based anatomical reasoning. Biomedical evidence related to intervertebral disc degeneration, inflammatory pathways, and implant biocompatibility further expands the relevance of deformation modeling beyond abdominal surgery. The resulting literature structure supports surgical systems that integrate imaging, biomechanics, orthopedic outcomes, and medical device design for more reliable intraoperative guidance and postoperative decision support.

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