Papers
3
Total Citations
27
H-Index
2
About
Yanchao Guo is a leading researcher in the intersection of robotics, computer-aided technology, and orthopedic surgery, with a primary focus on fracture reduction and minimally invasive surgical systems. His most cited work, a 2024 review on computer-aided robotics for fracture reduction surgery (21 citations), comprehensively maps the advances, challenges, and opportunities in this rapidly evolving field, highlighting how AI and information technology are transforming traditional surgical practices. Guo has pioneered novel solutions for femoral shaft fracture treatment, including a dual-mode robot-assisted plate implantation method that addresses critical issues of invisibility, inaccuracy, and instability during surgery. His recent work on tremor suppression in minimally invasive surgical robots, employing a particle swarm optimization-based unscented Kalman filter, demonstrates his commitment to enhancing robotic precision and safety. With a growing citation footprint, Guo’s contributions are shaping the future of robot-assisted orthopedics, offering tangible pathways to more accurate, stable, and less invasive surgical outcomes. His research is essential reading for engineers and clinicians seeking to understand and advance the next generation of surgical robotics.
Research Focus
Key Achievements
Top Papers
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