Algorithm-based optimization for knee arthroplasty procedures

A method for optimizing a knee arthroplasty surgical procedure, the method comprising:

• receiving pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure;
• selecting a machine learning model from a plurality of trained machine learning models based on the pre-operative data, wherein the machine learning model is trained to transform the pre-operative data to one or more kinetic response values and one or more kinematic response values;
• and
• during the knee arthroplasty surgical procedure, providing patient-specific kinetic and kinematic response values on one or more displays using an optimization process comprising:
• collecting intraoperative data from one or more surgical tools of a computer-assisted surgical system,
• applying the machine learning model to the pre-operative data and the intraoperative data, thereby determining a plurality of patient-specific kinetic and kinematic response values, and
• providing a visualization of the patient-specific kinetic and kinematic response values on the one or more displays.

A computer-assisted surgical system comprising:

• one or more surgical tools generating intraoperative data during a knee arthroplasty surgical procedure;
• a database comprising a plurality of pre-generated equation sets;
• a processor configured to:
• receive pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure;
• select an equation set from the plurality of pre-generated equation sets based on the pre-operative data,
• during the knee arthroplasty surgical procedure, perform an optimization process solving the equation set using the pre-operative data and the intraoperative data to determine a plurality of patient-specific kinetic and kinematic response values;
• and
• a graphical user interface providing an interactive visualization of the patient-specific kinetic and kinematic response values.