Max Robotics — Global Service Robot Directory + US Certification

About

Shinban Liu is a surgical researcher whose work centers on robotic surgery, skill acquisition, and postoperative complications, particularly in colorectal procedures. His major contributions include pioneering research on how robotic surgical skills are learned and retained over time. In his 2023 study, "Utilizing Simulation to Evaluate Robotic Skill Acquisition and Learning Decay" (8 citations), Liu demonstrated that surgeons who take a 3-month break from robotic platforms experience less learning decay and improved retention, offering critical insights for surgical training curricula. This work has implications for optimizing how surgeons maintain proficiency in high-stakes robotic environments. Liu has also made notable contributions to understanding port-site hernias following robotic colorectal surgery, especially in patients with obesity. His 2018 case series (3 citations) documented two patients with incarcerated hernias requiring laparoscopic reduction, highlighting rare but serious complications. A subsequent case report (1 citation) detailed a closed-loop small bowel obstruction from a lateral trocar site hernia after robotic sigmoid resection. These studies underscore the importance of careful trocar placement and postoperative monitoring in obese patients. Liu’s research bridges simulation-based education and clinical outcomes, advancing both surgical training and patient safety in robotic surgery.