Technologies for intra-operative ligament balancing using machine learning

A system for intra-operative ligament balancing of a joint of a patient comprising:

• at least one processor;
• one or more sensors coupled to the processor;
• a machine learning model;
• and
• software, stored on one or more non-transitory machine-readable storage media that, when executed by the one or more processors, cause the system to:
• receive, by the at least one processor, one or more surgical parameters associated with the ligament balancing of the joint and input the one or more surgical parameters to the machine learning model;
• receive, by the at least one processor, from the one or more sensors, real-time sensor data indicative of at least one or more characteristics of the joint and input the real-time sensor data to the machine learning model;
• compute, by the at least one processor, using the machine learning model, a pattern indicated by the one or more surgical parameters and the real-time sensor data, wherein the machine learning model is trained on a plurality of input data values from previous joint replacement procedures;
• compute, by the machine learning model, a next ligament balancing step based on the pattern, wherein data corresponding to the next ligament balancing step is outputted by the processor;
• iteratively repeat, by the machine learning algorithm, computation of a subsequent ligament balancing step based on the real-time sensor data and the one or more surgical parameters inputted into the at least one processor, wherein one or more ligament balancing results, for each computation, are outputted by the at least one processor;
• assess, by the at least one processor, a success of the ligament balancing, for each of the one or more ligament balancing results, relative to a target ligament balance state identified by the machine learning model;
• and
• perform, by the at least one processor, an iteration of training the machine learning model using one or more real-time sensor data and one or more surgical parameters associated with the target ligament balancing state.