Max Robotics — Global Service Robot Directory + US Certification

About

Yingchao Han is a leading researcher in the field of robotic-assisted spine surgery, with a primary focus on improving the accuracy and clinical outcomes of complex spinal procedures. Dr. Han’s major contributions center on validating the superiority of robot-assisted (RA) techniques over traditional fluoroscopy-guided and freehand methods for pedicle screw placement, particularly in challenging anatomical regions like the cervical spine and in adult degenerative scoliosis. In a pivotal 2020 prospective study (53 citations), Dr. Han demonstrated that RA placement significantly enhances screw accuracy and reduces complications in posterior cervical surgery. Another highly cited work (40 citations) confirmed these benefits for adult degenerative scoliosis, showing improved short-term outcomes compared to freehand techniques. Dr. Han also advanced the field by comparing robot-assisted minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) to open TLIF (36 citations), reporting superior screw accuracy and quality-of-life outcomes. Additionally, Dr. Han’s 2023 study on the learning curve for junior surgeons (13 citations) provides critical guidance for training programs, showing that novices can achieve proficiency in RA pedicle screw placement with a manageable learning curve. With over 140 total citations, Dr. Han’s work is instrumental in establishing robotic assistance as a standard of care in spinal surgery, directly impacting patient safety and surgical training.