Luis M. Salazar

The University of Texas at San Antonio Health Science Center

Papers

Total Citations

H-Index

About

Luis M. Salazar is a leading researcher in the field of robotic-assisted spine surgery, with a primary focus on improving the precision and safety of pedicle screw placement. His most-cited work, "Robot-Assisted Pedicle Screw Placement: Learning Curve Experience" (2019, 68 citations), is a landmark study that systematically evaluates the technical challenges and proficiency acquisition required for surgeons adopting robotic systems. By analyzing operative times, screw accuracy, and complication rates across a series of cases, Salazar demonstrated that the learning curve for robot-assisted placement is steep but surmountable, with significant improvements in accuracy after a defined number of procedures. This contribution has directly influenced surgical training protocols and the broader adoption of robotics in orthopedics and neurosurgery. Beyond this, his research addresses the integration of navigation technologies and patient-specific planning, aiming to reduce radiation exposure and improve outcomes in complex spinal deformities. With over 68 citations on his seminal paper alone, Salazar’s work is widely recognized for bridging the gap between technological innovation and clinical practice, making him a key figure in advancing minimally invasive spine surgery.