Brian Hamlin
Papers
5
Total Citations
197
H-Index
4
About
Brian Hamlin is a researcher specializing in orthopedic surgical robotics, with a particular focus on improving the precision and outcomes of knee arthroplasty procedures. His work centers on the development and validation of image-free, handheld robotic systems for both unicondylar knee arthroplasty (UKA) and total knee arthroplasty (TKA), representing a significant departure from earlier CT-based robotic platforms that required more extensive preoperative imaging. Hamlin's most influential contribution, a 2014 cadaveric study on a novel image-free handheld robot for UKA, has garnered 109 citations and helped establish the viability of imageless robotic guidance as a practical surgical tool. His 2018 follow-up extending this validation to TKA (61 citations) further demonstrated the versatility and clinical relevance of this technology. Across his body of work, Hamlin has consistently demonstrated that semiautonomous robotic systems can achieve high degrees of implant placement accuracy, rivaling or surpassing conventional manual techniques. His research has meaningfully advanced the field of computer-assisted orthopedic surgery, providing surgeons and engineers with rigorous cadaveric benchmarking data, and his contributions to patellofemoral arthroplasty using the NAVIO system further reflect his broad engagement with robotic-assisted knee reconstruction solutions.
Research Focus
Key Achievements
Top Papers
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- 5Patellofemoral Arthroplasty: NAVIO2 citations · 2019