Machine learning based joint evaluation method

A method of generating an evaluation of a human joint which includes two or more bones and ligaments, wherein the ligaments are under anatomical tension to connect the bones together, creating a load-bearing articulating joint, the method comprising:

• inputting locations of one or more sockets into a software application, each socket representing a ligament attachment point to bone;
• interconnecting the one or more sockets with mathematical relationships that describe the kinematic physics of the one or more sockets relative to one another;
• providing spatial information to describe the movement of the sockets relative to one another;
• defining an initial kinematic state of the joint;
• defining a final kinematic state of the joint;
• using a software application to compute a difference between the initial and final kinematic states;
• and
• using the software application to compute one or more corrections required to achieve the final kinematic state of the joint, wherein the computed corrections constitute an evaluation of the joint;
• and
• implementing the computed corrections in a guided surgical workflow on the human joint, the guided surgical workflow including at least one of the following:
• positioning an implant in the joint;
• and
• augmenting at least one of the ligaments.