PLANNING SPINAL SURGERY USING PATIENT-SPECIFIC BIOMECHANICAL PARAMETERS

Methods and systems for evaluating the biomechanical properties of a subject's spine for the purpose of optimizing a potential surgical intervention by selecting or designing surgical hardware fora spinal correction procedure. The system uses a simulated dynamic analysis configured to analyze, predict and improve the outcome of the surgical procedure by taking into account physiological, biomechanical, and anatomical factors. Machine learning algorithms use the computed distribution of forces and moments on the subject's spine, and compare the subject's results with those of patients from a reference population. By analyzing the biomechanical parameters of individuals in the reference population and distinguishing those whose procedure succeeded versus those whose procedure failed, and comparing their biomechanical parameters to these of the individual under evaluation for a spinal surgery, the method is able to predict the chances for a successful surgery, recommend an optimal procedure and/or the optimal implant(s) configuration.