Robotic arthroscopic surgery for joint repair

A system comprising:

• one or more processors;
• and
• one or more memories storing instructions that, when executed by the one or more processors, cause the system to perform a process for performing an arthroscopic surgical procedure on a joint using a robotic surgical system, the process comprising:
• acquiring user input and patient data of a patient;
• analyzing, using at least one machine learning algorithm, the patient data to determine one or more ligament-attachment joint stabilization steps for the joint, wherein the at least one machine learning algorithm is trained using prior patient data;
• generating a robotic-enabled surgical plan for the joint based on the user input and the one or more ligament-attachment joint stabilization steps, wherein the robotic-enabled surgical plan includes a sequence of surgical steps with corresponding surgical tools for attaching one or more connectors to at least one ligament of the joint and another structure of the patient to promote stabilization of the joint;
• displaying, via a graphical user interface of a display, the robotic-enabled surgical plan for intraoperative viewing by a user while the robotic surgical system robotically operates on the patient;
• displaying, via the display, at least one position of one or more sites along the patient according to the robotic-enabled surgical plan for connecting anatomical elements based on one or more intraoperative simulations for increasing at least one of a post-operative functionality or post-operative stability of the joint;
• receiving, from the user, intraoperative user input associated with one or more of the surgical steps of the robotic-enabled surgical plan;
• and
• determining information to be displayed, via the graphical user interface of a display, based on the received intraoperative user input while controlling one or more of the tools operated by the robotic surgical system according to a selection.

A non-transitory computer-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for performing an arthroscopic surgical procedure on a joint using a robotic surgical system, the operations comprising:

• acquiring user input and patient data of a patient;
• analyzing, using at least one machine learning algorithm, the patient data to determine one or more ligament-attachment joint stabilization steps for the joint, wherein the at least one machine learning algorithm is trained using prior patient data;
• generating a robotic-enabled surgical plan for the joint based on the user input and the one or more ligament-attachment joint stabilization steps, wherein the robotic-enabled surgical plan includes a sequence of surgical steps with corresponding surgical tools for attaching one or more connectors to at least one ligament of the joint and another structure of the patient to promote stabilization of the joint;
• displaying, via a graphical user interface of a display, the robotic-enabled surgical plan for intraoperative viewing by a user while the robotic surgical system robotically operates on the patient;
• displaying, via the display, at least one position of one or more sites along the patient according to the robotic-enabled surgical plan for connecting anatomical elements based on one or more intraoperative simulations for increasing at least one of a post-operative functionality or post-operative stability of the joint;
• receiving, from the user, intraoperative user input associated with one or more of the surgical steps of the robotic-enabled surgical plan;
• and
• determining information to be displayed, via the graphical user interface of a display, based on the received intraoperative user input while controlling one or more of the tools operated by the robotic surgical system according to a selection.