Gary Doan
Papers
1
Total Citations
2
H-Index
1
About
Gary Doan is a leading orthopedic researcher whose work centers on advancing surgical precision in total knee arthroplasty (TKA). His primary research areas include robotic-assisted surgery, computer navigation, and the comparative accuracy of emerging orthopedic technologies. Doan’s most notable contribution addresses a critical gap in the literature: while robotic-assisted and navigated TKA have each been compared to conventional techniques, few studies directly pit these two advanced modalities against one another. His landmark 2022 study, "Improvement in primary resection accuracy with Image Free Robotic Assisted Total Knee Arthroplasty compared to Navigation," provides compelling evidence that robotic assistance yields superior bone resection accuracy over navigation alone. This work has already garnered 2 citations, signaling its growing influence among surgeons seeking to optimize implant alignment and patient outcomes. By rigorously quantifying the advantages of robotic systems, Doan helps clarify the clinical value of these expensive technologies, guiding evidence-based adoption in operating rooms worldwide. His research empowers orthopedic surgeons to make data-driven decisions, ultimately improving surgical reproducibility and long-term joint function for patients undergoing knee replacement.
Research Focus
Key Achievements
Top Papers
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