Abstract: A system and method for pre-operatively optimizing a fit of an orthopaedic implant relative to a particular individuals anatomy is provided.

Abstract: A system and method for pre-operatively optimizing a fit of an orthopaedic implant relative to a particular individuals anatomy is provided.

Abstract: A method of planning a patellar replacement for a patient is provided. Input related to patient anatomy is received (e.g., demographic information) and imaging data is obtained from 2D or 3D medical imaging Biomechanical measurements of the patellofemoral joint are determined including a mechanical axis and pre-operative leg deformity. A 3D model of the patient anatomy is generated based on the input, and the 3D model is characterized in terms of the morphology of the patella. An implant is sized and fitted to the 3D model and implant position and orientation are optimized based on the biomechanics. Results are outputted as a patient report or a surgical plan to a computing device and/or a storage medium. A tracker unit for tracking a patella bone is also provided. The tracker unit comprises a support configured to penetrate the patella and a fiducial marker for detection by a tracking system.

Abstract: A computing system having at least one sensor, at least one processor, and at least one memory including a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to receive one or more surgical parameters associated with a ligament balancing of a patient's joint, receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint, and apply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning.

Abstract: Methods and system for characterizing ligament properties using elastography are disclosed. An ultrasound system capable of performing shear wave elasticity imaging and/or supersonic shear imaging may retrieve one or more images from a proposed surgical site. The one or more images may be provided to a surgical planning system that identifies one or more properties of ligaments proximate to the surgical site. Musculoskeletal simulations may be performed using the identified properties to preoperatively identify a surgical plan. Preoperative identification of a surgical plan may enable a surgeon to select from more fine-tuning options for a joint replacement than conventional systems.

Abstract: A method for optimizing a knee arthroplasty surgical procedure includes receiving pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure. An equation set is selected from a plurality of pre-generated equation sets based on the pre-operative data. During the knee arthroplasty surgical procedure, patient-specific kinetic and kinematic response values are generated and displayed using an optimization process. The optimization process includes collecting intraoperative data from one or more surgical tools of a computer-assisted surgical system, and using the intraoperative data and the pre-operative data to solve the equation set, thereby yielding the patient-specific kinetic and kinematic response values. A visualization is then provided of the patient-specific kinetic and kinematic response values on the displays.

Abstract: A computing system having at least one sensor, at least one processor, and at least one memory including a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to receive one or more surgical parameters associated with a ligament balancing of a patient's joint, receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint, and apply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning.

Abstract: Methods and system for characterizing ligament properties using elastography are disclosed. An ultrasound system capable of performing shear wave elasticity imaging and/or supersonic shear imaging may retrieve one or more images from a proposed surgical site. The one or more images may be provided to a surgical planning system that identifies one or more properties of ligaments proximate to the surgical site. Musculoskeletal simulations may be performed using the identified properties to preoperatively identify a surgical plan. Preoperative identification of a surgical plan may enable a surgeon to select from more fine-tuning options for a joint replacement than conventional systems.

Abstract: A method for optimizing a knee arthroplasty surgical procedure includes receiving pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure. An equation set is selected from a plurality of pre-generated equation sets based on the pre-operative data. During the knee arthroplasty surgical procedure, patient-specific kinetic and kinematic response values are generated and displayed using an optimization process. The optimization process includes collecting intraoperative data from one or more surgical tools of a computer-assisted surgical system, and using the intraoperative data and the pre-operative data to solve the equation set, thereby yielding the patient-specific kinetic and kinematic response values. A visualization is then provided of the patient-specific kinetic and kinematic response values on the displays.

Abstract: A tensioner tool for assessing joint laxity is disclosed. The tensioner tool comprises a pair of pivotally coupled arms, each arm comprising a proximal handle portion, a distal portion, and an insertion tip selectively coupled to the distal portion. The pair of arms pivot between a compressed configuration for insertion within the joint and an expanded configuration for distraction of the joint by applying a force to the handles, thus spreading the insertion tips. The tensioner tool also comprises a force sensor configured to measure the force applied to the handle portion and a positional sensor configured to measure a separation distance between the pair of arms. The tensioner tool also comprises a processor configured to calculate a distraction force at the insertion tips based on the measured force and to calculate a tip distance between the insertion tips based on the measured separation distance.

Abstract: A joint tensioning device and methods of use thereof are disclosed. The joint tensioning device includes a flexing arm and a loading arm having a tensioning tip and a loading tip, respectively, configured for insertion into a joint. The flexing arm is coupled to the loading arm such that, during use, the loading arm may be adjusted to separate the tensioning tip and the loading tip to apply a distraction force to the joint. A strain gauge measures strain applied to the flexing arm based on the applied distraction force. The measured strain is used to determine the amount of force applied to the joint. The force data is employed in surgical planning to determine the amount of joint laxity when a particular load is applied to the joint.

Abstract: A method for preoperatively characterizing an individual patients biomechanic function in preparation of implanting a prosthesis is provided. The method includes subjecting a patient to various activities, recording relative positions of anatomy during said various activities, measuring force environments responsive to said patient's anatomy and affected area during said various activities, characterizing the patient's biomechanic function from said relative positions and corresponding force environments, inputting the measured force environments, relative positions of knee anatomy, and patient's biomechanic function characterization into one or more computer simulation models, inputting a computer model of the prosthesis into said one or more computer simulation models, and manipulating the placement of the prosthesis in the computer simulation using said patient's biomechanic function characterization and said computer model of the prosthesis to approximate a preferred biomechanical fit of the prosthesis.

Abstract: 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.

Abstract: A method for preoperatively characterizing an individual patient's biomechanic function in preparation of implanting a prosthesis is provided. The method includes subjecting a patient to various activities, recording relative positions of anatomy during said various activities, measuring force environments responsive to said patient's anatomy and affected area during said various activities, characterizing the patient's biomechanic function from said relative positions and corresponding force environments, inputting the measured force environments, relative positions of knee anatomy, and patient's biomechanic function characterization into one or more computer simulation models, inputting a computer model of the prosthesis into said one or more computer simulation models, and manipulating the placement of the prosthesis in the computer simulation using said patient's biomechanic function characterization and said computer model of the prosthesis to approximate a preferred biomechanical fit of the prosthesis.

Abstract: Methods and systems for planning a joint replacement surgical procedure are disclosed. A musculoskeletal model for a patients joint and patient biometric data are received. A joint distraction device is positioned in the patients joint during the joint replacement surgical procedure, and the position and orientation of the joint distraction device are tracked as the patient's joint is moved through a range of motion in order to determine a magnitude of a force applied to the joint distraction device. A surgical plan for performing the joint replacement surgical procedure is provided based on the magnitude of the force applied throughout the range of motion, the musculoskeletal model, and the patient biometric data. The surgical plan includes implant position information, bone resection information, and/or ligament balancing information.

Abstract: Disclosed herein are systems and devices for performing computer-aided surgical navigation. Specifically, a system for augmented reality assisted trauma fixation, which displays various views of one or more tracked items, including a guide device, a fixation plate, a surgical tracking device, and an augmented reality display. The guide device having a tip, a handle, and a fixation guide. The fixation plate having at least one aperture designed to receive the tip of the guide. The surgical tracking device configured to track one or more trackable objects associated with the guide, fixation plate, and display, and thereby calculate a location of a fixation device, such as a screw, relative to the fixation plate.

Abstract: 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.

Abstract: A surgical robotic arm (520) for use with an external vision system (512) includes onboard control and at least four degrees of articulation. The robotic arm (520) can position various tools (534) in the surgical theatre responsive to positional feedback from the vision system (512). Exemplary tools (534) include a handpiece (519) that includes a motorized burr or saw, a cutting guide (542) for a handheld saw, and a laser to actively define a resection area for a surgeon. The tool (534) or a reference point on the arm (520) relative to the tool (534) includes fiducial marks to register the position of the tool (534) with the vision system (512). Exemplary tools (534) are especially suited for knee and hip arthroplasty and can be moved under processor or manual control.

Abstract: Methods, systems, and devices for the treatment of osteochondral defects (OCDs) are disclosed. The disclosed method and systems include collecting surface data of a joint using image-free methods, generating a three-dimensional (3D) healthy bone model based on the surface data of the joint and a database of healthy bone anatomies, defining of the boundary of the OCD on the joint, generating a 3D implant model based on the 3D healthy bone model and the boundary of the OCD on the joint, manufacturing an implant based on the 3D implant model, generating an implantation plan, resecting the joint according to the implantation plan, and placing the implant into the resected cavity on the joint. The disclosed devices include two or more distinct segments with distinct structures optimized for bone or cartilage growth and configured to receive distinct injectable biologic enhancement for targeted bone or cartilage growth.

Abstract: A patient-matched cutting block including a surface or point contact features adapted to at least partially conform to or reference a patient specific anatomy. The cutting block having guide slots configured for guiding the movement of cutting tools relative to the patient specific anatomy or features configured to mate to and guide standard cutting guides relative to patient specific anatomy in order to form plateau and eminence resections of the patient specific anatomy.