Dongheon Lee
Papers
3
Total Citations
158
H-Index
3
About
Dongheon Lee is a pioneering researcher at the intersection of robotic surgery, artificial intelligence, and augmented reality (AR). His work focuses on enhancing surgical precision and safety, particularly in complex procedures like robotic thyroid surgery. Lee’s major contributions include developing a deep learning-based system for tracking multiple surgical instruments, enabling automated, quantitative evaluation of surgical skills during robotic training and actual operations—a breakthrough with 102 citations. He also advanced AR visualization in robotic thyroid surgery, creating vision-based tracking systems to localize critical structures like the recurrent laryngeal nerve, reducing complication risks. His preliminary study on AR application in robotic thyroid surgery (26 citations) addressed the challenges of limited operative views and lack of tactile feedback, common obstacles for novice surgeons. With over 150 total citations, Lee’s work has significantly improved surgical training and intraoperative guidance, making robotic procedures safer and more accessible. His innovative integration of AI and AR into surgical practice marks him as a key figure in modern medical technology.
Research Focus
Key Achievements
Top Papers
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