Jin Meng
Papers
1
Total Citations
33
H-Index
1
About
Jin Meng is a rising figure in the field of computer-assisted orthopedic surgery, with a primary focus on intelligent surgical planning and spinal biomechanics. His most cited work, "An Automatic Path Planning Method of Pedicle Screw Placement Based on Preoperative CT Images" (2022, 33 citations), addresses a critical bottleneck in spinal surgery: the manual, time-consuming selection of screw trajectories. By developing an automated, image-driven approach, Meng’s research significantly enhances the precision and efficiency of pedicle screw placement—a technique widely used for spinal disease treatment. This contribution not only reduces surgical complexity but also improves patient safety by minimizing the risk of screw misplacement. His work bridges the gap between preoperative imaging and intraoperative execution, offering a practical solution for surgeons. With his growing citation record, Jin Meng is establishing himself as a key innovator in surgical automation, and his methods hold promise for integration into broader robotic-assisted spine surgery systems.
Research Focus
Key Achievements
Top Papers
- 1