Papers
2
Total Citations
31
H-Index
2
About
Dr. Lele Ding is pioneering the integration of artificial intelligence with robotic-assisted orthopedic surgery, with a primary focus on total knee arthroplasty (TKA). His most impactful work introduces a deep learning framework that automates the three-dimensional CT reconstruction of lower limbs, a traditionally labor-intensive step in robotic TKA planning. This innovation addresses a critical bottleneck in surgical workflow, demonstrating how AI can enhance both efficiency and precision in preoperative preparation. In parallel, Dr. Ding has conducted foundational in vivo research using a sheep model to validate the accuracy and safety of the novel HURWA robotic-assisted TKA system, providing essential preclinical evidence for its clinical translation. His contributions, reflected in over 30 combined citations from his top-cited papers, are shaping the next generation of computer-assisted joint replacement. By merging deep learning algorithms with robotic surgical systems, Dr. Ding is advancing the frontier of personalized, data-driven orthopedic surgery, making procedures more reproducible and less dependent on manual expertise.
Research Focus
Key Achievements
Top Papers
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