Chan Joo Yang

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About

Chan Joo Yang is a pioneering researcher in the field of surgical robotics, with a primary focus on otologic and skull base procedures. His most notable contribution is the development of an image-guided human–robot collaborative control system for mastoidectomy, a technically demanding ear surgery. In his landmark 2017 cadaver study, Yang demonstrated that robot-assisted mastoidectomy could achieve superior precision and safety compared to traditional techniques, while maintaining acceptable operative duration. This work, which has garnered 11 citations, established a critical proof-of-concept for integrating anatomical monitoring and robotic control in delicate bone removal procedures. Yang's research addresses the fundamental challenge of balancing surgical accuracy with patient safety, particularly in the complex anatomy of the temporal bone. By showing that collaborative robotics can reduce the risk of inadvertent damage to vital structures like the facial nerve and dura, his work has laid the foundation for next-generation surgical navigation systems. Yang's contributions are especially impactful for training and standardizing complex otologic procedures, potentially reducing complication rates in mastoid surgery. His innovative approach continues to influence the development of intelligent surgical assistants that augment, rather than replace, the surgeon's skill.