Zhijin Li

Papers

Total Citations

H-Index

About

Zhijin Li is a pioneering researcher at the intersection of artificial intelligence, augmented reality (AR), and robotic surgery. His primary research areas include real-time AI-assisted surgical visualization, instrument deocclusion, and the clinical translation of AR technologies for minimally invasive procedures. Li’s major contribution is the development and first-in-human validation of an AI-driven system that intelligently handles real and virtual occlusions during AR-guided robotic surgery—a critical barrier to integrating AR into daily surgical practice. By enabling accurate, dynamic 3D model superposition that adapts to instrument movement, his work dramatically improves surgical precision and safety. His most cited paper (2023, 26 citations) reports the first clinical deployment of this technology, demonstrating its feasibility and impact in a live operating room. This achievement represents a landmark step toward seamless AR-assisted surgery, earning recognition for its potential to transform intraoperative guidance. Li’s research continues to push the boundaries of surgical AI, making him a key figure in the future of computer-assisted intervention.