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About

Ziv Yaniv is a leading researcher in medical image computing and image-guided interventions, with a primary focus on orthopaedic surgery and robotic assistance. His most impactful work addresses the challenging problem of distal locking of intramedullary nails—a critical step in long bone fracture fixation. In his highly cited 2005 paper (74 citations), Yaniv introduced a novel image-guided, robot-based system featuring a bone-mounted miniature robot that provides rigid mechanical guidance for hand-held drilling, significantly improving precision and reducing surgical errors. This work, along with his contributions to registration techniques for orthopaedic interventions (2015, 23 citations), has advanced the integration of robotics and imaging in the operating room. Yaniv’s research has been widely recognized, with his 2015 paper in *Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling* accumulating over 271 citations, underscoring his influence in the field. His achievements demonstrate a commitment to translating computational methods into practical surgical tools, enhancing both patient outcomes and procedural efficiency.