Papers
1
Total Citations
4
H-Index
1
About
Lei Qi is a researcher advancing the field of surgical robotics, with a focus on image-guided automated systems. Their key contributions lie at the intersection of robotic technology, medical imaging, and computer-aided surgery, where they have explored the design and clinical application of automated surgical robots. Qi’s most cited work, "A system design of image-guided automated surgery robot" (2017, 4 citations), addresses the growing demand for precision in minimally invasive procedures by integrating real-time imaging data with robotic control. This research highlights how image-guided automated surgical robots (IGASR) have become pivotal in diverse clinical settings, improving accuracy and reducing human error. While their citation count is modest, Qi’s work contributes to a rapidly evolving domain that promises to transform surgical practice, particularly as medical imaging and robotics converge. Their research underscores the potential for automation to enhance surgical outcomes, making it a valuable reference for students and researchers exploring the future of intelligent, image-driven surgical systems.
Research Focus
Key Achievements
Top Papers
- 1A system design of image-guided automated surgery robot4 citations · 2017