Interests       Ad-hoc Routing Protocol Design
Office           K226
Tel               02-705-8497

E-Mail           jinhoson@sogang.ac.kr

Research Interests

AI-based Next-generation Surgical Robot System

With the aging population, the demand for surgeries related to musculoskeletal disorders is rapidly increasing. However, due to the limitations of available medical resources, the supply falls short of meeting this demand. In particular, there is a strong need for future-oriented systems that enable personalized diagnosis, surgery, and post-operative care, yet their supply remains insufficient. Although overseas companies have been developing and commercializing personalized, full-cycle surgical platform technologies, there are currently no such developments in Korea. In Korea, however, there has been no development in this field.

• Zimmer has built the ZBEdge™ Dynamic Intelligence™ platform to provide personalized pre- and post-operative care for patients.

• Johnson & Johnson offers the VELYS™ system, which integrates patient pathways, insights, and robotic systems to improve patient experience and clinical outcomes.

• moveUP provides a patient recovery platform that allows the prediction of post-operative prognosis. 

This research aims to develop a next-generation robotic system for knee surgery that overcomes the limitations of current robot-assisted joint replacement surgery by leveraging AI technology and advanced robotic systems. The system will automatically measure the geometry of the surgical site in the knee and the gap between the femur and tibia in real time to optimize surgical planning. With AI-powered automation, surgical plans will be generated and executed more efficiently. Compared with conventional surgical robots, this next-generation knee arthroplasty robot system will enable safer and faster bone resection during surgery.