Methods for improved surgical planning using machine learning and devices thereof

A surgical computing device comprising memory comprising programmed instructions stored thereon for improved surgical planning and one or more processors coupled to the memory and configured to execute the stored programmed instructions to:

• train at least one neural network based on historical outcome data associated with a plurality of instances of a surgical procedure;
• apply the at least one neural network to current patient data to generate a predictor equation, wherein the current patient data comprises at least anatomy data for an anatomy of the current patient and wherein the predictor equation functionally relates an implant to an estimated response for the anatomy of the current patient;
• optimize the predictor equation to generate one or more resection parameters for one or more resections required to achieve a position and orientation of the implant with respect to the anatomy of the current patient as part of a surgical plan for the current patient undergoing the surgical procedure;
• and
• update the at least one neural network based on the current patient data and current outcome data generated for the current patient following execution of the surgical plan.