Various implementations include a device for positioning a knee during an x-ray. The device includes a first portion, a second portion, and a foot plate. The first portion has a first surface, a second surface spaced apart from the first surface, a first edge extending between the first surface and the second surface, and a second edge spaced apart from the first edge. The second portion has a first surface, a second surface spaced apart from the first surface, a first edge extending between the first surface and the second surface, and a second edge spaced apart from the first edge. The first edge of the first portion is rotatably coupled to the second edge of the second portion. The foot plate is coupled to the first surface of the first portion.

A computer-implemented method for determining implant positions of two implant components relative to two bones that form a joint is disclosed. The method includes acquiring a set of target poses to be achieved between the two bones, assessing one or more proposed implant arrangements using the set of target poses, and selecting an implant arrangement from the proposed implant arrangements based on the assessment. Assessing an implant arrangement includes determining a real pose between the two bones for each target pose, calculating a pose deviation value for each target pose based on the target pose and the corresponding real pose, and calculating an overall pose deviation value from the individual pose deviation values. The implant arrangement may be selected based on the overall pose deviation values for the proposed implant arrangements.

A surgical assistance system obtains patient-specific values of a plurality of physical characteristics of a humeral bone of a patient. The surgical assistance system predicts, based on the patient-specific values, a humeral prosthesis (202) for the patient from among a plurality of humeral prostheses, wherein the predicted humeral prosthesis has a filling ratio less than a remodeling threshold for the patient. The filling ratio of the humeral prosthesis is a ratio of (i) a radial distance from a lengthwise central axis of a stem (206) of the humeral prosthesis to an outer surface of the stem, to (ii) a radial distance from the lengthwise central axis of the stem to an inner surface of the intramedullary canal (208) of a humerus of the patient. The remodeling threshold for the patient is a filling ratio above which the humeral prosthesis would cause remodeling in the patient.

A device for providing joint replacement robotic surgery information comprises: a memory unit configured to store surgery plan information set before surgery including a cutting path of a surgical target bone; a target acquisition unit configured to acquire positions of a plurality of cutting target points forming the cutting path based on the surgery plan information; a robot position calculation unit configured to calculate a current cutting position of the surgical robot among the cutting target points based on surgery progress of the surgical robot; a graphic user interface (GUI) providing unit configured to generate graphics that represent surgery progress information including a current cutting position of the surgical robot and positions of the cutting target points on a virtual bone model corresponding to the surgical target bone; and a display unit configured to display the virtual bone model and the surgery progress information.

Disclosed herein are methods for determining resection depths for a knee arthroplasty procedure. The method may comprise the steps of determining a joint translation threshold, determining a joint translation of the femur with respect to the tibia during a joint gap measurement, setting a final joint gap measurement and determining knee resection depths based on the final joint gap measurement. The joint translation threshold may be defined as a translation distance of a femur with respect to a tibia. The joint translation may be less than or equal to the joint translation threshold.

Proposed are an apparatus and method for spinal surgery planning, the spinal surgery planning method including: acquiring a two-dimensional (2D) spinal image of a patient through a medical imaging apparatus; calculating a registration relationship between coordinates in an image space and coordinates in a surgical space by registering the image space for the spinal image and the surgical space where spinal surgery is performed on the patient; generating a virtual three-dimensional (3D) figure in the surgical space; projecting the 3D figure onto the spinal image based on the registration relationship; adjusting the 3D figure so that the 3D figure can correspond to a predetermined landmark on the spinal image; and setting an insertion position and insertion path of a spinal prosthesis based on the spinal image and the 3D figure.

A method and system for guiding knee replacement procedures, the method comprising receiving first data values from one or more sensors and one or more functional measurement devices, performing a reference measurement based on the first data values from the one or more sensors and the one or more functional measurement devices prior to a femoral cut, generating joint replacement recommendations based on the reference measurement, receiving second data values from the one or more sensors and the one or more functional measurement devices, performing a control measurement based on the second data values from the one or more sensors and the one or more functional measurement devices after a femoral cut based on the joint replacement recommendations, receiving third data values from the one or more functional measurement devices, and performing a pressure test that measures loading, balance, and kinematic behavior at medial and lateral condyles based on the third data values.

A computer-implemented method for creating an activity-optimized cutting guides for surgical procedures includes receiving one or more pre-operative images depicting one or more anatomical joints of a patient, and creating a three-dimensional anatomical model of the one or more anatomical joints based on the one or more pre-operative images. One or more patient-specific anatomical measurements are determined based on the three-dimensional anatomical model. A statistical model of joint performance is applied to the patient-specific anatomical measurements to identify one or more cut angles for performing a surgical procedure. A patient-specific cutting guide is created that comprises one or more apertures positioned based on the one or more cut angles.

A method to guide in preparation of a bone relies on an instrument having a shaft with a working end and a stop member. The shaft is free to translate along an axis. Surgical planning data is registered to the bone to determine intra-operative coordinates of the desired axis and depth. The instrument holder is positioned by the bone so the stop member contacts the instrument holder to prevent translating beyond the desired depth. Alternatively, an arm is manipulated to align the instrument with the desired axis. The working end rests on the bone to define a linear separation to the desired depth. By proximally translating the instrument holder to contact the stop member and distally translating the instrument holder along the shaft, the stop member physically stops translating beyond the desired depth. A surgical system for performing the methods is provided; a reamer or impactor are also disclosed.

A surgical planning system for use in surgical procedures to repair an anatomy of interest includes a preplanning system to generate a virtual surgical plan and a mixed reality system that includes a visualization device wearable by a user to view the virtual surgical plan projected in a real environment. The virtual surgical plan includes a 3D virtual model of the anatomy of interest. When wearing the visualization device, the user can align the 3D virtual model with the real anatomy of interest, thereby achieving a registration between details of the virtual surgical plan and the real anatomy of interest. The registration enables a surgeon to implement the virtual surgical plan on the real anatomy of interest without the use of tracking markers.