Yingying Liu
Papers
1
Total Citations
3
H-Index
1
About
Yingying Liu is a researcher at the forefront of spinal surgery innovation, specializing in robotic-assisted orthopedics, medical image processing, and preoperative surgical planning. Her work addresses a critical challenge in spinal disease treatment: achieving precise curvature fit between implanted rods and the spine to ensure postoperative stability. In her landmark 2024 study, "Automatic Centroid Angle Measurement From CT Image for Preoperative Rod Design of Robotic-Assisted Screw-Rod System Implantation," Liu introduced a novel method for automatically measuring centroid angles from CT scans, enabling preoperative rod design rather than relying on intraoperative adjustments. This approach has the potential to significantly improve surgical outcomes by reducing procedural time and enhancing implant precision. While her work is early-stage, with 3 citations to date, its practical implications for robotic-assisted spinal surgery are substantial, offering a pathway to more personalized and efficient treatments. Liu’s research bridges the gap between imaging technology and surgical robotics, positioning her as an emerging contributor to the field of computer-assisted orthopedic surgery.
Research Focus
Key Achievements
Top Papers
- 1