ArticleInternational journal of computer assisted radiology and surgery2026
Path planning for fracture reduction robots incorporating physiological tissue response and safety-oriented optimization.
Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeRobot-assisted orthopedic reduction faces the dual challenge of achieving geometric precision while preserving physiological safety. This study presents a physiology-driven, multi-objective path-planning framework to optimize both surgical efficiency and tissue protection.
methodsA three-zone monitoring system-Doctor-Control, Bone-Response, and Tissue-Impact-was established in animal experiments to simultaneously record robotic kinematics, bone motion, and vascular-neural physiological signals. Correlation analyses identified strong coupling between mechanical motion and physiological responses, which guided the development of a multi-objective optimization framework combining Rapidly exploring Random Tree (RRT) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The planner minimized both geometric path length and physiological disturbance.
resultsSignificant relationships were observed between femur-tibia displacement and femoral (r = - 0.90, p = 0.033) and iliac (r = 0.89, p = 0.033) artery flow. Tibial and distal femur rotations markedly reduced sciatic nerve conduction amplitude (
conclusionThe physiology-driven optimization framework enables safe and efficient robotic fracture reduction by integrating multi-modal physiological feedback into path planning. These results demonstrate its potential for intelligent, safety-aware surgical robotics.
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