Smith + Nephew

Smith & Nephew Orthopaedics Ag

Smith Nephew Asia Pacific Pte. Limited

Daniel Farley

Branislav Jaramaz

Sied William Janna

Ryan Lloyd Landon

Brian W Mckinnon

Constantinos Nikou

David Lieberman

Zachary Christopher Wilkinson

Darren Wilson

Scott Kennedy Laster

Roger Ryan Dees, Jr

Cedric Corpa De La Fuente

Paul Bell

Haden Janda

Bilal Imad Ismail

Shawn P Mcguan

Brian William McKinnon

Joseph Michael Ferrante

Samuel Clayton Dumpe

Randy C Winebarger

Carlos A Rodriguez

William L Bowers, Jr

Ruxandra Cristiana Marinescu Tanasoca

Brett J Bell

Elizabeth Duxbury

Xuanye Wang

Gary David Carlson, Jr

Brian Roberts

Johnny L Wolfe

An automated spatial frame is disclosed. The spatial frame may include a master controller unit arranged and configured as a centralized controller for exchanging data with a remote computing system, exchanging data with a plurality of automated struts, and delivering power to the automated struts. Thus arranged, the master-controller unit may be configured as a fully integrated, rechargeable power supply/controller unit for powering and controlling the automated struts. In one embodiment, the master-controller unit is coupled to an external surface of a platform. The platform acting as a conduit for coupling the master-controller unit to the automated struts. As such, at least one of the platforms provides integrated connectivity to the automated struts. In one embodiment, the struts may be wireless automated strut including a motor, a power source, and a wireless communications module for communicating with an external computing system.

Automated spatial frame and automated struts used therewith

A surgical system and method for markerless intraoperative navigation is provided. The system can includes a structured light system that can be utilized to intraoperatively sense three-dimensional surface geometry. The computer system is configured to segment a depth image to obtain surface geometry data of an anatomical structure embodied within the depth image, register the surface geometry data of the anatomical structure to a model, and update the surgical plan according to the registered surface geometry data. The surgical system is an endoscopic surgical system.

Markerless navigation system

A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.

Use of robotic surgical data for training

Methods and systems of augmenting an implant intraoperatively and preparing a cone for revision surgical procedure are disclosed. A system includes a cutting device, a tracking and navigation system and a cutting system in operable communication with the cutting device and the tracking and navigation system. The cutting device includes a communication system, a cutting element, and a plurality of optical trackers. The tracking and navigation system is configured to detect a location of optical trackers. The control system is configured to cause the tracking and navigation system to detect the location of the cutting device, determine a revised shape for an implant cavity, cause the cutting device to cut the implant cavity to the revised shape, select a shape for a cone to be placed in the revised implant cavity, and machine the cone to the selected shape.

Intraoperative implant augmentation

A method of determining patient-specific implant parameters for an implant used in a surgical procedure is described. A surgical system receives one or more initial transfer functions and one or more preoperative input factors for a patient and generates a surgical plan comprising one or more patient-specific implant parameters based on the one or more initial transfer functions and the one or more preoperative input factors for the patient. The surgical system further receives one or more intraoperative input factors for the patient and updates the one or more patient-specific implant parameters based on the one or more intraoperative input factors for the patient. An implant for the patient is selected based on the one or more updated patient-specific implant parameters.

Patient-specific surgical method and system

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.

Methods for improved surgical planning using machine learning and devices thereof

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.

Augmented reality in arthroplasty surgery

Devices, systems, and methods for measuring a force applied to a joint during a surgical procedure are disclosed. The device includes an insertion tool, a handle, and one or more force indicators. The insertion tool includes an insertion end and a base end. The one or more force indicators may be attached to the insertion tool and the handle. The insertion end of the device may be inserted into a joint during a surgical procedure and used to apply a force to the joint and/or measure the force using the one or more force indicators when the force is applied.

Force-indicating retractor device and methods of use

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.

Elastography for ligament characterization

Disclosed are techniques to navigate soft tissue structures based on preoperative imaging for joint arthroplasty. Particular embodiments are useful for direct anterior approach total hip arthroplasty but may be applicable in other approaches and/or other surgical procedures. In some embodiments, the patient is imaged with MRI safe markers on the skin prior to surgery. These markers remain on the patient prior to and during surgery. The position of various muscular, venous, and nervous structures can be provided to the surgeon prior to making the incision, allowing him or her to navigate the soft tissue during dissection.

Computer-assisted tissue navigation

Patient-specific guides for the Latarjet procedure, as well as surgical systems and methods of performing the Latarjet procedure to treat glenohumeral instability using such patient-specific guides are disclosed. A patient-specific coracoid guide and a patient-specific glenoid guide may be configured based on preoperatively generated three-dimensional models of the patient's shoulder anatomy. Guides may be configured for coracoid graft preparation and glenoid decortication. The coracoid graft may be placed in the desired position based on three-dimensional (3D) preoperative planning.

Patient-specific guides for Latarjet procedure

A computer-implemented method for updating a surgical plan for placement of a joint implant is disclosed. The surgical plan is obtained, including an implant model, an implant size, and an initial value for each of a plurality of placement parameters. At least one knee performance equation is selected from a library based on the surgical plan information, wherein each knee performance equation relates an output response associated with a post-operative influence to the plurality of placement parameters. Each output response is calculated across a range of values for each of a subset of the plurality of placement parameters. A graphical representation of the output response across each range is displayed, and input related to a selected value for each placement parameter of the subset is received. The surgical plan is updated based on the selected values. Devices and non-transitory computer readable media for carrying out the method are also disclosed.

Simulation-enhanced intraoperative surgical planning tool for robotics-assisted total knee arthroplasty

Systems and methods for transmitting data in an operative setting are disclosed. A surgical system records data pertaining to a surgical procedure as the procedure is performed. The data is transferred to a portable electronic device, such as a cellular-enabled device, intermittently during the surgical procedure or after the surgical procedure is completed. The cellular-enabled device establishes a connection with a remote database that may be cloud-enabled for storage and analysis of the data.

Data transmission systems and methods for operative setting

A method of generating a custom three-dimensional model of a bone is disclosed. A 2D image of the bone is obtained and an orientation and scale of the 2D image are aligned to a pre-determined coordinate system. Based on the 2D image, a representative bone is identified from a library of representative bones that are aligned to the pre-determined coordinate system. Based on the 2D image, an ideal view of a 3D model of the representative bone is selected. Modifications may be made to the 3D model by using additional representative bones from the library. A custom three-dimensional model of the bone is thereby generated.

Growing community of inventors

Memphis, TN, United States of America

Daniel Farley