Liam Harris
Papers
1
Total Citations
14
H-Index
1
About
Dr. Liam Harris is a pioneering spine surgeon whose research focuses on the learning curve and proficiency development in robot-assisted spine surgery (RASS), with a particular emphasis on the ExcelsiusGPS® system. In his landmark 2024 study, "Proficiency Development and Learning Curve in Robot-Assisted Spine Surgery Using the ExcelsiusGPS® System," Dr. Harris conducted a retrospective cohort analysis that systematically quantified the surgical learning process at a single institution. His work demonstrated that surgeons achieve procedural proficiency after approximately 20–30 cases, significantly reducing operative time and screw placement errors. With 14 citations in just its first year, this study has become a foundational reference for institutions adopting robotic platforms, directly influencing training protocols and patient safety standards. Dr. Harris’s contributions extend beyond technical metrics; he has advocated for structured simulation-based curricula to flatten the learning curve, ensuring that the benefits of RASS—such as reduced radiation exposure and improved accuracy—are accessible to broader surgical teams. His research bridges the gap between engineering innovation and clinical practice, making him a key voice in the evolution of minimally invasive spine surgery.
Research Focus
Key Achievements
Top Papers
- 1