Ningning Chen
Papers
1
Total Citations
3
H-Index
1
About
Ningning Chen is a rising researcher in the field of robotic-assisted spinal surgery, with a focus on preoperative planning and implant design. Their most-cited work, "Automatic Centroid Angle Measurement From CT Image for Preoperative Rod Design of Robotic-Assisted Screw-Rod System Implantation" (2024), addresses a critical challenge in spinal disease treatment: achieving precise curvature fit between rods and vertebrae to ensure postoperative stability. By developing an automatic centroid angle measurement method from CT images, Chen enables preoperative rod curvature determination, moving beyond traditional intraoperative adjustments that often compromise accuracy. This innovation streamlines robotic-assisted screw-rod system implantation, potentially reducing surgical time and improving patient outcomes. While their citation count is still growing—reflecting the recency of their work—Chen’s contribution is notable for its direct clinical applicability, bridging imaging analysis and robotic surgery. Their research exemplifies how computational geometry can enhance precision in orthopedics, marking them as an emerging voice in medical robotics and preoperative surgical planning.
Research Focus
Key Achievements
Top Papers
- 1