Max Robotics — Global Service Robot Directory + US Certification

About

Lorna Kwan is a researcher whose work sits at the intersection of surgical education, simulation technology, and urologic innovation. Her primary research areas include robotic surgery training, peer feedback mechanisms, and the application of 3D virtual reality models for surgical planning. Kwan’s most impactful contribution is her pioneering study on video-based peer feedback through social networking for robotic surgery simulation (49 citations), which demonstrated a novel, scalable approach to skill acquisition in complex surgical techniques. She further advanced preoperative planning with her work on 3D virtual reality models for robotic partial nephrectomy (45 citations), helping surgeons visualize patient-specific anatomy before entering the operating room. More recently, Kwan has contributed to quantifying surgical blood loss in minimally invasive myomectomy and exploring urologist perspectives on lower urinary tract reconstruction. Her research bridges the gap between emerging digital tools and practical surgical training, making her a valuable voice in the ongoing evolution of robotic surgery education.