Papers
8
Total Citations
92
H-Index
5
About
Zhuofu Li is a leading researcher at the forefront of robotic spinal surgery, whose work is transforming how complex spinal procedures are performed. His primary research areas include autonomous robotic systems for laminectomy, AI-driven surgical planning, and the development of cost-effective robotic platforms for pedicle screw fixation. Li’s major contributions include introducing the first autonomous laminectomy robot, demonstrating its feasibility and accuracy in thoracic and lumbar vertebrae (25 citations), and pioneering an AI-based robotic system for autonomous spinal posterior decompression, validated through cadaveric models (7 citations). His systematic review on robot-assisted laminectomy (29 citations) has become a foundational reference in the field, while his work on ultrasonic osteotome efficiency and heat production (5 citations) addresses critical safety concerns. Li has also developed a novel fluoroscopy-based robot system for pedicle screw fixation (10 citations), aiming to reduce costs and increase clinical accessibility. With over 90 total citations and a rapidly growing publication record through 2025, his research is shaping the next generation of safer, more precise, and more accessible robotic spinal surgery systems.
Research Focus
Key Achievements
Top Papers
- 1Robot-assisted laminectomy in spinal surgery: a systematic review29 citations · 2021
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- 4A novel fluoroscopy‐based robot system for pedicle screw fixation surgery10 citations · 2020
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