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About

Wei Kou is a rising researcher in the field of surgical robotics and biomechanics, with a focused expertise in robot-assisted fracture reduction systems and pelvic surgical navigation. Their work addresses critical challenges in translating robotic systems from laboratory settings to clinical practice, particularly for complex pelvic fractures. Kou’s major contributions include a comprehensive review of technologies evolution in robot-assisted fracture reduction systems (16 citations), which systematically analyzed the barriers to commercialization and identified key technological gaps. They developed an integrated biomechanics modeling method for pelvic bone and surrounding soft tissues (10 citations), providing crucial insights into the mechanical environment that affects surgical outcomes. Most recently, Kou introduced an automatic feature points extraction method using PointMLP_RegNet (2025), tackling the difficult problem of 3D/3D feature-based registration for pelvic fracture reduction. This work aims to improve the accuracy of surgical navigation systems. With over 28 total citations and a clear trajectory from foundational reviews to advanced machine learning solutions, Kou is establishing themselves as a key contributor to the next generation of intelligent, robot-assisted orthopedic surgery.