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About
Chi Lee is a pioneering researcher at the intersection of artificial intelligence, robotics, and minimally invasive surgery, with a primary focus on embodied surgical intelligence and digital twin technologies. His most notable contribution is the development of autonomous trocar insertion systems, a critical step in laparoscopic procedures that traditionally requires high manual precision. In his landmark 2025 paper, "Embodied Surgical Intelligence via Digital Twins: Autonomous Trocar Insertion," Lee introduced a novel framework that integrates real-time digital twin simulations with robotic control, enabling safe, adaptive, and autonomous execution of this delicate task. This work has already garnered early citations, signaling its potential to reshape surgical training and automation. Lee's research addresses a key bottleneck in robotic surgery—bridging the gap between pre-operative planning and intra-operative execution—by leveraging sensor feedback and virtual models to enhance surgical accuracy and reduce human error. His contributions are particularly impactful for advancing autonomous surgical systems, with implications for telemedicine and remote surgery. As a rising voice in surgical robotics, Lee's work promises to make complex procedures safer and more accessible, positioning him as a key innovator in the next generation of intelligent surgical tools.
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