Seunglee Kim
Papers
1
Total Citations
30
H-Index
1
About
Seunglee Kim is a pioneering researcher at the intersection of surgical robotics and augmented reality (AR), with a primary focus on enhancing precision in minimally invasive procedures. His most impactful work centers on developing vision-based tracking systems that integrate preoperative imaging with real-time surgical navigation. In his landmark 2020 study, cited over 30 times, Kim introduced a novel AR system that uses CT-derived 3D models of the trachea, common carotid artery, and recurrent laryngeal nerve (RLN) to guide surgeons during robotic thyroid surgery. By enabling real-time localization of the RLN—a critical structure vulnerable to injury—his system significantly improves surgical safety and outcomes. This contribution addresses a longstanding challenge in endocrine surgery, where nerve damage can lead to voice impairment. Kim’s work exemplifies how computer vision and AR can bridge the gap between anatomical imaging and intraoperative decision-making. His research not only advances the field of surgical robotics but also sets a foundation for future innovations in augmented reality-assisted surgery, making him a key figure in the evolution of smart operating rooms.
Research Focus
Key Achievements
Top Papers
- 1