Arthroplasty surgery (joint replacement) is a widely used procedure for treating end-stage osteoarthritis. This primary stream of our research focusses on the integration and optimal use of technology in arthroplasty clinical decision-making to optimize patient outcomes. This includes the integration of:  biomechanics tools in clinical flow (instrumented motion capture, inertial sensors); advanced image processing; modeling implant integrity and survival through radiostereometric analysis (RSA); advanced data analytics; and patient-specific surgery optimization through surgical navigation and robotic surgery.

We have used laboratory-based protocols for decades to understand the role of joint level mechanics in arthroplasty outcomes, our current research focuses on the integration of biomechanics tools and techniques into clinic environments for efficiency, clinical collaboration, and direct uptake of results.