Systems and methods for configuring surgical systems to perform patient-specific procedure with surgeon preferences

A system for performing a surgical procedure on a patient, the system comprising:

• a computer system comprising a first processor and a first non-transitory memory, the first non-transitory memory storing first instructions that, when executed by the first processor, cause the computer system to:
• for each of a plurality of patient categories:
• display a plurality of biomechanical simulations indicating postoperative performance of an implant, each of the plurality of biomechanical simulations corresponding to one of a plurality of alignment algorithms, and
• receive, from a user, a selection of one of the plurality of biomechanical simulations,
• store one of the plurality of alignment algorithms corresponding to each selection for each of the plurality of patient categories, thereby defining a user profile comprising a plurality of selected alignment algorithms corresponding to the plurality of patient categories;
• and
• a surgical system communicatively coupled to the computer system, the surgical system comprising a second processor and a second memory, the second non-transitory memory storing second instructions that, when executed by the second processor, cause the surgical system to:
• in response to the surgical system being used to perform the surgical procedure on a patient by the user:
• retrieve, from the user profile, a selected alignment algorithm corresponding to a patient category of the plurality of patient categories with which the patient is associated, and
• configure the surgical system according to the selected alignment algorithm.

A system for performing a surgical procedure on a patient, the system comprising:

• a computer system comprising a first processor and a first non-transitory memory, the first non-transitory memory storing first instructions that, when executed by the first processor, cause the computer system to:
• train a machine learning model on a training set of patient outcome data;
• cluster, by the machine learning model, a plurality of alignment algorithms;
• for each of a plurality of patient categories:
• display a plurality of biomechanical simulations indicating postoperative performance of an implant, each of the plurality of biomechanical simulations corresponding to one of the plurality of alignment algorithms, and
• receive, from a user, a selection of one of the plurality of biomechanical simulations,
• store one of the plurality of alignment algorithms corresponding to each selection for each of the plurality of patient categories, thereby defining a user profile comprising a plurality of selected alignment algorithms corresponding to the plurality of patient categories;
• and
• a surgical system communicatively coupled to the computer system, the surgical system comprising a second processor and a second non-transitory memory, the second non-transitory memory storing second instructions that, when executed by the second processor, cause the surgical system to:
• in response to the surgical system being used to perform the surgical procedure on a patient by the user:
• retrieve, from the user profile, a selected alignment algorithm corresponding to a patient category of the plurality of patient categories with which the patient is associated, and
• configure the surgical system according to the selected alignment algorithm.