Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve robotic surgical systems. With this technology, one or more machine learning models are trained based on historical state data obtained for a computer-assisted surgical system (CASS) at each of a plurality of time periods during a plurality of historical knee arthroplasty surgical procedures. One or more of the machine learning models are applied to initial state data for a current knee arthroplasty surgical procedure to generate robotic commands required to achieve one or more future states of the CASS. The initial state data comprises a surgical plan. One or more surgical tools of the CASS are then manipulated based on the robotic commands to achieve the one or more future states of the CASS and thereby carry out at least a portion of the surgical plan.

Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the 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. The machine learning model is updated based on the current patient data and current outcome

A method and system for performing hip arthroplasty include analyzing images of a patient's hip joint in a plurality of positions to identify preoperative hip geometry. A statistical patient model predicts prosthetic hip implant performance based on the preoperative knee geometry and given prosthetic knee implant implantation parameters for a plurality of selected patient activities, each having a predefined motion profile to calculate an optimized surgical plan for performing the procedure using a computer assisted surgical system, which may use fiducial markers affixed to patient tissue. Hip geometry can be determined by angles between landmarks in the images, including sacral tilt, pelvic incidence, pelvic femoral angle, and ante-inclination angle in x-ray images. Implant performance criteria can include, for example, edge loading and range of motion of implant components.

An augmented reality system and method for assisting surgical staff during an arthroplasty procedure includes a camera system configured to capture images of a surgical scene and a processor configured to determine from the images location and orientation information about one or more patient anatomical features and to maintain a three-dimensional model of these anatomical features within the surgical scene. The system models the field-of-view of augmented reality headsets worn by surgical staff, and maps this to the anatomical model, allowing the system to overlay relevant information to the user about particular anatomical features in the surgical plan.

Methods and systems for performing a knee arthroplasty procedure include analyzing images of a patient's patellofemoral and femoral-tibial joint in a plurality of flexion positions to identify preoperative knee geometry. A statistical patient model predicts prosthetic knee implant performance based on the preoperative knee geometry and given prosthetic knee implant implantation parameters to calculate an optimized surgical plan for performing the procedure using a computer assisted surgical system, which may use fiducial markers affixed to patient tissue. The model can include selectable patient activities to adjust the motion profile for plan optimization.

A method for creating a patient-specific surgical plan includes receiving one or more pre-operative images of a patient having one or more infirmities affecting one or more anatomical joints. three-dimensional anatomical model of the one or more anatomical joints is created based on the one or more pre-operative images. One or more transfer functions and the three-dimensional anatomical model are used to identify a patient-specific implantation geometry that corrects the one or more infirmities. The transfer functions model performance of the one or more anatomical joints as a function of anatomical geometry and anatomical implantation features. surgical plan comprising the patient-specific implantation geometry may then be displayed.

A method for correcting position of an osteotomy guide tool is disclosed. A trackable element mounted on the osteotomy guide tool or on the robotic arm tracks the position of the osteotomy guide tool and generates position information of the trackable element. According to the current position and the desired position of the trackable element, a robotic arm drives the osteotomy guide tool and the trackable element to move, until the trackable element is moved to the desired position. This method does not need to consider the absolute position accuracy of the robotic arm, and does not rely on the experience of the surgeon. The tool has several guiding features, which can provide guides for osteotomy operations, so that the same osteotomy guide tool can perform multiple operations of osteotomy and punching, thus greatly reducing the operation time and improving the operation efficiency.

A method of navigating a cutting instrument, via a computer system, the method comprising: (a) mounting a patient-specific anatomical mapper (PAM) to a human in a single known location and orientation, where the PAM includes a surface precisely and correctly mating with a human surface correctly in only a single location and orientation; (b) mounting a reference inertial measurement unit (IMU) to the human; (c) operatively coupling a guide to the PAM, where the guide includes an instrument inertial measurement unit (IMU) and at least one of a cutting slot and a pin orifice; (d) outputting data from the reference IMU and the instrument IMU indicative of changes in position and orientation of the guide with respect to the human; (e) repositioning the guide with respect to the human to a position and an orientation consistent with a plan for carrying out at least one of a cut and pin placement; and, (f) visually displaying feedback concerning the position and orientation of the guide with respect to the human using data output from the reference IMU and the instrument IMU, which data is processed by a computer program and the computer program directs the visually displayed feedback.

A surgical apparatus configured to be placed in the musculoskeletal system to precisely separate a first bone from a second bone. The surgical apparatus has one or more sensors to measure one or more parameters and supports one or more bone cuts for installing a prosthetic component. The surgical apparatus has three distraction mechanisms configured to increase or decrease a height between a first support structure and a second support structure. A tilt mechanism comprises at least one of the three distraction mechanisms. Each distraction mechanism is supported by at least two guide shafts such that movement of each distraction mechanism is aligned by the corresponding at least two guide shafts and loading is supported by the corresponding at least two guide shafts.

A surgical apparatus comprising a first distraction mechanism, a second distraction mechanism, and a third distraction mechanism. The surgical apparatus is configured to be placed in a joint of the musculoskeletal system to precisely separate the first bone from the second bone to support one or more bone cuts for installing a prosthetic joint. The first distraction mechanism simultaneously changes a height of a first side and a second side of the joint. The change in height is equal on the first and second sides. The second distraction mechanism changes the height on the first side of the joint but not the second side. The third distraction mechanism changes the height of the second side of the joint but not the first side. The surgical apparatus further includes at least one module to measure loading applied by the joint to the surgical apparatus.