The application relates to the technical field of
surgical assistance, and discloses a
foot deformity correction
surgery planning and implementation method, which comprises the following steps: fusing multi-
modal medical images and dynamic function data to construct a high-fidelity foot digital twin model; intelligently quantitatively evaluating and mechanismally analyzing deformities by using a
deep learning network combined with a
knowledge graph; automatically optimizing in a
virtual space by using a multi-agent
reinforcement learning algorithm to generate a personalized
surgery plan verified by biomechanical
simulation; converting the optimized scheme into
augmented reality navigation information and
robot control instructions to guide a
surgical robot to perform adaptive and accurate
osteotomy and reduction operations; dynamically evaluating execution deviations and guiding correction by using real-time three-dimensional scanning and registration technology during the operation, and intelligently matching and implanting
internal fixators; immediately performing function
verification after the operation, and generating a personalized digital
rehabilitation scheme and long-term
curative effect prediction for the patient based on the operation result. The application constructs an intelligent
surgery ecological
system throughout the whole process of "diagnosis, planning, implementation, evaluation and management", and significantly improves the accuracy, safety,
predictability and scientific level of
curative effect management of
foot deformity correction surgery.