Sang Jun Song
Papers
2
Total Citations
126
H-Index
2
About
Sang Jun Song is a leading orthopedic surgeon and researcher whose work centers on the clinical optimization of robot-assisted total knee arthroplasty (TKA). His research critically evaluates the real-world benefits of robotic surgery, challenging prevailing assumptions about its superiority. In his landmark 2019 study, which has garnered over 120 citations, Song demonstrated that robot-assisted TKA does not improve long-term clinical or radiologic outcomes compared to conventional techniques—a finding that has reshaped debates on surgical value and cost-effectiveness. More recently, he has focused on the learning curve for robotic knee arthroplasty, publishing a 2023 paper that provides actionable strategies to streamline surgeon training and enhance procedural efficiency. By bridging the gap between technological promise and evidence-based practice, Song’s work guides surgeons in adopting robotics judiciously. His contributions are essential for residents and practicing orthopedists seeking to understand when and how robotic assistance truly benefits patients, making him a pivotal voice in modern arthroplasty research.
Research Focus
Key Achievements
Top Papers
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