Matthew J. Donaldson
Papers
1
Total Citations
64
H-Index
1
About
Matthew J. Donaldson is a leading orthopedic researcher whose work centers on improving surgical precision and outcomes in total knee arthroplasty (TKA). His primary contributions lie in advancing preoperative planning technologies, particularly through the use of three-dimensional (3D) templating and robotic assistance. His most cited paper, a 2018 study with 64 citations, demonstrated that CT-based 3D templating in robot-assisted TKA significantly outperforms traditional two-dimensional methods in predicting accurate implant sizes. This work directly addresses a critical challenge in joint replacement: surgical error in component sizing, which can compromise implant longevity, knee balance, and patient satisfaction. By showing that 3D templating reduces variability and enhances accuracy, Donaldson has helped pave the way for more personalized, data-driven surgical workflows. His research underscores a commitment to minimizing patient dissatisfaction—a persistent concern in TKA—by leveraging advanced imaging and robotic technologies. For students and clinicians, Donaldson’s work offers a compelling case for how digital tools can transform orthopedic surgery, making procedures safer and more predictable. His findings continue to influence preoperative planning protocols and inspire further innovation in computer-assisted joint replacement.
Research Focus
Key Achievements
Top Papers
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