11 results about "Joint arthroplasty" patented technology

Disclosed herein is a system and method for performing pre-operative planning of total joint arthroplasty. The planning tool builds a model and analyzes and visualizes movement of the joint for various selections of implant models and placement of the components on the implants on the patient's anatomy. The tool also analyzes and visualizes motions of the joint during common activities of daily living and analyzes and functional ranges. The tool provides real time clinically relevant parameters to inform pre-surgery planning. The tool provides screw orientation visualization.

Systems and methods of providing augmented reality assisted surgery are disclosed. Certain aspects provide a method including generating a virtual scene comprising one or more virtual elements comprising one or more anatomical elements corresponding to one or more anatomy parts. The method further includes identifying one or more references in an actual physical scene comprising the one or more anatomy parts. The method further includes registering the virtual scene to the one or more references to generate an augmented scene. The method further includes displaying the augmented scene on a display device.

A method is provided for facilitating the implantation of an implant during a surgical procedure. The method includes obtaining bone registration data for a first bone member and a second bone member of a patient's joint, and acquiring patient-specific movement-related data during the procedure after the joint is subjected to at least one movement with a first predefined distraction force applied throughout a continuous range of motions. A distraction force model is used to conduct a joint gap simulation based on predefined ligament stiffness data, the movement-related data at the first distraction force, and at least one simulation distraction force value, resulting in joint gap simulation data. A surgical plan model utilizes the joint gap simulation data and bone registration data to generate a patient-specific intra-operative surgical plan comprising at least one surgical cut parameter. The method further includes cutting the first and / or second bone member based on the surgical plan to facilitate implant implantation.

A system and method for joint arthroplasty includes capturing patient-specific three-dimensional joint data during a first arthroplasty stage and utilizing a joint phenotype classification algorithm to predict a likelihood of a phenotype match or transition between first and second arthroplasty stages. The algorithm selects at least one joint-specific metric from the pre-cut data, transforms the metric into a feature vector in N-dimensional feature space, assigns the feature vector to at least one patient-specific pre-cut cluster trained on data from other patients, determines a pre-cut joint phenotype, predicts at least one patient-specific post-cut cluster and a post-cut joint phenotype. The system compares pre-cut and post-cut phenotypes to compute a likelihood of a match or transition, and outputs the likelihood on a user interface intraoperatively to facilitate verification that a planned bone cut will achieve a desired clinical target, or modification of implant parameters, surgical parameters, or soft-tissue balance, for continuing procedure.

A method for controlling a robotic system to facilitate a joint arthroplasty procedure includes generating a graphical user interface comprising a visualization of an implant plan and an indication of a user-defined value for an implant planning parameter, and comparing the user-defined value for the implant planning parameter to the range. The method includes providing a marking at the indication of the user-defined value on the graphical user interface and receiving an update to the implant plan, wherein the update to the implant plan causes a change in the user-defined value. The method further includes determining that the change in the user-defined value moved the user-defined value to within the selected preferred range.

A method and system for personalized implant planning during total joint arthroplasty include obtaining a plurality of patient-specific data prior to an implantation of at least one implant into a joint of a patient comprising a first bone member and a second bone member; inputting the plurality of patient-specific data into at least one weight-based implant algorithm, at least one weight-based implant machine learning model, or both, configured to output weights assigned to patient-specific functional parameters that facilitate a prioritization for each of the patient-specific functional parameters; utilizing a surgical plan model to obtain a patient-specific intra-operative surgical plan for the implantation of the at least one implant, based at least in part on the plurality of patient-specific data, intra-operative patient-specific data, the plurality of patient-specific functional parameters, and / or the plurality of weights; and performing the implantation based on the patient-specific intra-operative surgical plan.

The present disclosure relates generally to cartilage repair and total joint arthroplasty and, more particularly, to engineered biotextiles, artificial implants comprising the engineered biotextiles, and fully biologic replacement joints comprising the same as well as related methods for preparing and implanting the engineered biotextiles and fully biologic replacement joints.

A system and method for joint arthroplasty includes capturing patient-specific three-dimensional joint data during a first arthroplasty stage and utilizing a joint phenotype classification algorithm to predict a likelihood of a phenotype match or transition between first and second arthroplasty stages. The algorithm selects at least one joint-specific metric from the pre-cut data, transforms the metric into a feature vector in an N-dimensional feature space, assigns the feature vector to at least one patient-specific pre-cut cluster trained on data from other patients, determines a pre-cut joint phenotype, predicts at least one patient-specific post-cut cluster and a post-cut joint phenotype. The system compares pre-cut and post-cut phenotypes to compute a likelihood of a match or transition, and outputs the likelihood on a user interface intraoperatively to facilitate verification that a planned bone cut will achieve a desired clinical target, or modification of implant parameters, surgical parameters, or soft-tissue balance, for continuing the procedure.

A probe for an electrosurgical device for treating tissue, the probe optionally including any one or combination of: an elongated shaft having a proximal end portion, a distal end portion with a tip and a longitudinal axis, a first dome electrode, a second dome electrode and a blade electrode. The first dome electrode can be positioned at the tip. The second dome electrode can be positioned at the tip and can be spaced laterally from the first dome electrode. The blade electrode can be positioned at the tip. The blade electrode is retractable and extendible relative to the tip, the first dome electrode and the second dome electrode.

A method for facilitating the implantation of an implant during a surgical procedure includes obtaining bone registration data for a first bone member and a second bone member of a patient's joint, and acquiring patient-specific movement-related data during the procedure after the joint is subjected to at least one movement with a first predefined distraction force applied throughout a continuous range of motions. A distraction force model is used to conduct a joint gap simulation based on predefined ligament stiffness data, the movement-related data at the first distraction force, and at least one simulation distraction force value, resulting in joint gap simulation data. A surgical plan model utilizes the joint gap simulation data and bone registration data to generate a patient-specific intra operative surgical plan comprising at least one surgical cut parameter. The method further includes cutting the first and / or second bone member based on the surgical plan.

The invention provides surgical methods, devices, apparatus, and systems for supporting the thumb of a patient after basal joint arthroplasty. The embodiments of the invention comprise at least one index metacarpal anchor, at least one thumb metacarpal anchor, at least one sling for positioning the thumb metacarpal anchor relative to the index metacarpal anchor, and at least one anchor washer for tightening and securing the sling(s) without the need to tie the suture(s) components of the sling(s) into knots. Index and thumb metacarpal anchors comprise at least one bone-engaging element for engaging the respective metacarpal. The anchor washer may incorporate one or more sling-engagement mechanisms. Increasing the number of sling-engagement mechanisms associated with the anchor washer increases the surface area of the sling(s) and provides multiple sling elements to provide redundancy and increase the pull force of the sling(s) attachment(s) used to affix the thumb and index metacarpal anchors into a position relative to each other.