Papers
2
Total Citations
6
H-Index
2
About
Yuyu Fan is a rising orthopedic surgeon and researcher whose work is at the forefront of integrating artificial intelligence and robotics into spine and joint surgery. Her primary research areas include robot-assisted posterior spine surgery, AI-driven preoperative planning, and total knee arthroplasty (TKA). In her landmark case–control study on robot-assisted spine surgery, Fan systematically investigated how tracer placement affects screw positioning accuracy—a critical, yet often overlooked, technical variable that directly impacts surgical outcomes. This work has garnered early recognition with 4 citations, establishing a foundation for safer robotic spine procedures. More recently, Fan led a retrospective controlled study comparing AI-assisted robotic TKA against conventional surgery, demonstrating superior perioperative outcomes and faster early functional recovery in the AI-robotic cohort. This study, already cited twice, signals a paradigm shift in joint replacement. By bridging the gap between advanced computational planning and real-world surgical execution, Fan is helping to define the next generation of precision orthopedics—where data-driven algorithms guide the surgeon’s hand for consistently better patient results.
Research Focus
Key Achievements
Top Papers
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