W. Pretty
Papers
1
Total Citations
10
H-Index
1
About
Dr. W. Pretty is a leading orthopedic researcher whose work is reshaping total knee arthroplasty (TKA) through the integration of robotic-assisted surgical systems. Their most-cited study, "Virtual assessment of coronal balance prior to bone resection with the MAKO robotic-assisted system accurately predicts final balance in TKA" (2023, 10 citations), represents a pivotal contribution to precision joint replacement. This work demonstrates how preoperative virtual modeling can reliably forecast postoperative coronal alignment, enabling surgeons to optimize ligament balance and implant positioning before making a single bone cut. By validating the predictive accuracy of the MAKO system, Dr. Pretty has provided a powerful tool for reducing revision rates and improving patient outcomes. Though early in their career, this research has already garnered significant attention within the arthroplasty community, establishing Dr. Pretty as a rising authority on the intersection of digital planning and surgical execution. Their findings offer a roadmap for more personalized, data-driven TKA procedures—a critical step toward minimizing complications and enhancing long-term functional recovery.
Research Focus
Key Achievements
Top Papers
- 1