Max Robotics — Global Service Robot Directory + US Certification

About

Songbai Ji is a leading researcher at the intersection of medical imaging, robotics, and computational surgery, with a primary focus on advancing precision medicine through multi-scale modeling and translational systems biology. His work is particularly centered on developing automated, image-guided systems for spine surgery, where he has made pioneering contributions to the use of robotic ultrasound (US) for intraoperative guidance. Ji’s research addresses the critical challenge of accurately registering preoperative MRI or CT scans with intraoperative US data, a key step for improving surgical outcomes. His most cited work, "Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine," has garnered 17 citations, reflecting its foundational impact on the field. More recently, his studies on pointcloud-based bone surface registration for robotic ultrasound-guided spine surgery (2024) have demonstrated the feasibility of automated, radiation-free image guidance, with early citations (3–4) already signaling growing interest. By integrating low-cost, real-time US with robotic systems, Ji is paving the way for safer, more accurate spinal procedures, reducing reliance on ionizing radiation and manual registration. His innovative approach promises to transform surgical workflows, making image guidance more accessible and reliable.