Wenqing Zhang
Papers
1
Total Citations
3
H-Index
1
About
Wenqing Zhang is a rising researcher in robotic-assisted spinal surgery, with a focus on preoperative planning and intraoperative precision. Her key research areas include medical image processing, surgical robotics, and biomechanical modeling for spinal interventions. Zhang’s major contribution lies in developing automated methods to enhance the accuracy of screw-rod system implantation, a critical therapy for spinal diseases. Her most cited work, “Automatic Centroid Angle Measurement From CT Image for Preoperative Rod Design of Robotic-Assisted Screw-Rod System Implantation” (2024), introduces a novel approach to determine rod curvature preoperatively from CT scans, addressing the challenge of achieving a precise fit between rods and spines to ensure postoperative stability. This work, with 3 citations in its first year, is gaining attention for its potential to reduce intraoperative adjustments and improve surgical outcomes. Zhang’s research bridges the gap between imaging and robotics, offering a pathway to more personalized and efficient spinal treatments. Her achievements highlight a promising career at the intersection of computational analysis and clinical application, making her a notable figure in the evolving field of robotic-assisted orthopedics.
Research Focus
Key Achievements
Top Papers
- 1