Yen‐Mou Lu
Papers
1
Total Citations
5
H-Index
1
About
Dr. Yen-Mou Lu is a leading figure in spinal surgery innovation, with a focused expertise in robotic-assisted techniques and surgical team dynamics. His major contribution lies in quantitatively defining the learning curve for robotic spine surgery, moving beyond anecdotal experience to establish a data-driven framework. In his pivotal 2022 study, he demonstrated that the power law of practice governs the acquisition of proficiency in spinal robotic screw placement, highlighting that teamwork and addressing unmet needs are critical variables that can accelerate this curve. This work, which has garnered early citations for its foundational nature, provides a roadmap for surgical teams to optimize training and patient safety during technology adoption. Dr. Lu’s research bridges the gap between engineering and clinical practice, offering actionable insights for institutions implementing robotic systems. His achievements underscore a commitment to evidence-based surgical education and the systematic improvement of complex procedures, making him a key voice in the evolution of minimally invasive spinal surgery.
Research Focus
Key Achievements
Top Papers
- 1