Chen Shi
Papers
1
Total Citations
14
H-Index
1
About
Dr. Chen Shi is a pioneering spine surgeon whose work centers on the learning curve and proficiency development in robot-assisted spine surgery (RASS). His major contributions include a landmark study on the ExcelsiusGPS® system, which systematically analyzed the procedural learning curve from a single institution’s experience. This research demonstrated that surgeons can achieve proficiency after approximately 20–30 cases, with significant reductions in operative time and screw placement errors. With 14 citations since 2024, his work has rapidly influenced surgical training protocols and robotic adoption. Dr. Shi’s findings are notable for providing the first detailed proficiency benchmarks for the ExcelsiusGPS® platform, distinguishing his work from earlier studies focused on older Mazor systems. His research directly addresses the critical gap in understanding how surgeons transition from novice to expert in RASS, offering actionable insights for residency programs and hospital implementation. By quantifying the learning curve, Dr. Shi has helped demystify robotic surgery adoption, making it more accessible and safer for patients. His ongoing work continues to shape the future of minimally invasive spine surgery.
Research Focus
Key Achievements
Top Papers
- 1