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About

Bangyu Lan is an emerging researcher at the forefront of medical robotics and intelligent ultrasound imaging, with a particular focus on musculoskeletal reconstruction and orthopedic surgical navigation. His work addresses critical challenges in clinical practice, including operator dependency, invasive tracking methods, and the limitations of traditional surgical guidance systems. Most notably, Lan developed an Automated Robotic Ultrasound Scanning (ARUS) framework that integrates deep learning and robotic automation to enable precise, operator-independent 3D musculoskeletal imaging — a contribution that has already garnered 15 citations since its 2025 publication. His research into acoustic measurement approaches for Total Knee Replacement Arthroplasty (TKA) proposes non-invasive alternatives to bone pin tracking, reducing patient risk while maintaining high surgical precision. Further work on real-time bone tracking using A-Mode ultrasound signals demonstrates his commitment to eliminating soft tissue artifacts and infection risks associated with conventional methods. Collectively, Lan's research sits at a compelling intersection of robotics, deep learning, and clinical orthopedics, offering practical solutions that could meaningfully improve patient safety and surgical outcomes in the years ahead.