Zhilin Yang
Papers
2
Total Citations
4
H-Index
1
About
Zhilin Yang is a pioneering researcher in surgical robotics and image-guided intervention, with a focus on automating high-precision clinical procedures. His work bridges computer vision, robotics, and spine surgery to enhance both safety and accessibility. Notably, he led the development of **VeniBot**, a compact robotic system for autonomous venipuncture that uses near-infrared (NIR) imaging to regress puncture area and angle in real time. This work addresses a critical gap in clinical automation, as most existing robotic phlebotomy systems remain impractical for routine use. More recently, Yang has advanced the field of minimally invasive spine surgery, demonstrating the clinical efficacy of **robot-assisted single-position OLIF** (oblique lateral interbody fusion) combined with lateral plate and posterior unilateral fixation for lumbar spinal stenosis. His 2025 study reports improved outcomes for single-segment cases, offering a less invasive alternative to traditional approaches. While his most-cited works currently hold modest citation counts—reflecting the niche, translational nature of his research—their impact is growing within the surgical robotics and orthopedics communities. Yang’s contributions are particularly notable for their direct clinical applicability, moving robotic assistance from concept to bedside.
Research Focus
Key Achievements
Top Papers
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- 2