Smith + Nephew

Smith & Nephew Orthopaedics Ag

Smith Nephew Asia Pacific Pte. Limited

Lifemodeler, Inc.

Shawn Patrick McGuan

Elizabeth Duxbury

Milton Scott Bergeon

David Brian Jackson

Brian William McKinnon

Constantinos Nikou

Ryan Lloyd Landon

Sean M Haddock

Nathaniel Milton Lenz

Randy C Winebarger

William L Bowers, Jr

Ruxandra Cristiana Marinescu Tanasoca

James Bennett Wiebe, Iii

Jonathan Kirk Nielsen

Ted Schwartz

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.

Computer-assisted arthroplasty system

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.

Patient-specific simulation data for robotic surgical planning

An implant training system based on a biomechanical modeling system is disclosed. In one embodiment, the implant training system includes a processor configured to load and execute instructions from an implant simulation module and the implant simulation module configured to provide a preloaded case representing a model patient to a user, receive input from the user to adjust the preloaded case to represent a particular patient, and provide outcome information for using an implant in the particular patient.

Implant training system

Systems and methods for determining muscle force are presented. Proportional, integral, and derivative control is used to simulate muscle forces for multiple muscles contributing to a kinematic profile. The simulated muscle forces are modified by dynamic gains that are calculated in order to achieve a muscle recruitment objective such as minimizing collective muscle effort while still achieving the kinematic motion.

Systems and methods for determining muscle force through dynamic gain optimization of a muscle PID controller for designing a replacement prosthetic joint

Systems and methods for determining muscle force are presented. Proportional, integral, and derivative control is used to simulate muscle forces for multiple muscles contributing to a kinematic profile. The simulated muscle forces arc modified by dynamic gains that are calculated in order to achieve a muscle recruitment objective such as minimizing collective muscle effort while still achieving the kinematic motion.

Systems and methods for determining muscle force through dynamic gain optimization of a muscle PID controller

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San Clemente, CA, United States of America

Shawn Patrick McGuan