David Putzer
Papers
3
Total Citations
27
H-Index
3
About
David Putzer is a leading researcher in orthopedic biomechanics and computer-assisted surgery, with a focus on advancing robotic and minimally invasive techniques in joint arthroplasty. His work bridges engineering and clinical practice, notably through pioneering studies on the learning curve for robotic-assisted total knee arthroplasty (RA TKA), where his 2024 paper (10 citations) demonstrated how experienced surgeons can efficiently adopt this technology, enhancing procedural confidence and reducing operative time. Putzer also made significant contributions to soft tissue management, as seen in his 2015 study (9 citations) comparing robotic arm retraction to human assistance in minimally invasive hip arthroplasty, revealing improved precision and reduced tissue trauma. Additionally, his 2014 work (8 citations) on time-of-flight cameras for surgical robot navigation introduced a novel method for tracking soft tissue in real time, a key step toward augmented reality in orthopedics. With a cumulative impact of over 27 citations across these key papers, Putzer’s research has shaped modern arthroplasty by optimizing robotic workflows and improving surgical outcomes. His achievements underscore a commitment to integrating cutting-edge technology into clinical settings, making him a notable figure in the evolution of computer-aided orthopedic surgery.
Research Focus
Key Achievements
Top Papers
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