Ik-Jae Kwon

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Total Citations

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About

Ik-Jae Kwon is a pioneering researcher at the intersection of oral and maxillofacial surgery and robotics, whose work is redefining surgical precision. His primary research areas include autonomous surgical robotics, computer-assisted osteotomy, and the development of novel registration techniques for craniomaxillofacial procedures. Kwon’s most notable contribution is the development of an autonomous robot for mandibular ramal bone harvest, a complex procedure traditionally reliant on manual skill. In his landmark 2021 study, he introduced a system that uses direct coordinate determination for surgical registration, enabling a robot to execute a preprogrammed osteotomy with remarkable accuracy. Critically, his work provided the first comparative analysis of robotic versus manual osteotomy, evaluating cut position, length, and angle—demonstrating the robot’s superior consistency. Though his citation count (9 for this paper) reflects a nascent but rapidly growing field, the impact is profound: his research lays the groundwork for safer, more predictable bone graft harvesting, reducing operative time and complications. Kwon’s achievements signal a future where autonomous robots become standard tools in maxillofacial surgery, making him a key figure to watch for students and researchers interested in the convergence of engineering and surgical innovation.