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About

Yanzhen Liu is a leading researcher at the intersection of robotic surgery, artificial intelligence, and orthopedic biomechanics. Their work focuses on advancing surgical robot systems (SRS) by integrating AI to overcome critical bottlenecks in complex information processing and intraoperative decision-making. Liu’s most influential review, “Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence” (2024, 70 citations), provides a comprehensive roadmap for next-generation intelligent surgical platforms. They have made significant contributions to pelvic fracture surgery, including automatic path planning for multi-degree-of-freedom reduction and patient-specific musculoskeletal modeling to enhance preoperative planning. Liu has also pioneered comparative studies on guide plate navigation versus virtual fixtures in robot-assisted osteotomy, demonstrating the superiority of virtual fixtures for surgical precision. In a novel application of deep learning, they developed an automatic segmentation method for ultrasound adipose images to support robot-assisted liposuction. Additionally, Liu draws inspiration from human hand joint morphology to design continuum robots that balance flexibility and stability. Their work is shaping the future of autonomous, intelligent surgical systems with tangible clinical impact.