Jialuo Han

Qingdao University

Papers

2

Total Citations

16

H-Index

2

About

Jialuo Han is a leading researcher in the field of robotic‑assisted spinal surgery, with a particular focus on minimally invasive techniques for lumbar fusion and revision procedures. Dr. Han’s work centers on the clinical application of robotic systems—such as the Mazor X Stealth and Mazor Renaissance—to improve screw placement accuracy, reduce intraoperative radiation, and shorten recovery times. In their most‑cited study (13 citations), they demonstrated that robot‑assisted oblique lumbar interbody fusion (OLIF) in a single position yields superior screw accuracy and postoperative outcomes compared to traditional bipedal approaches. Another notable contribution (3 citations) describes the use of the Mazor Renaissance robotic system for cortical bone trajectory (CBT) screw placement as a salvage strategy for failed lumbar spine surgery—a technically demanding procedure that Dr. Han’s team performed successfully in seven patients. These studies highlight Dr. Han’s commitment to advancing precision and safety in complex spinal procedures, offering new solutions for patients who have exhausted conventional options. Their work is widely cited by spine surgeons and engineers developing next‑generation surgical robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of the Screw Accuracy and Postoperative Efficacy of Screw Placement in Single Position and Bipedal Position in <scp>Robot‐Assisted</scp> Oblique Lumbar Interbody Fusion: Preliminary Results of <scp>Mazor X</scp> Stealth Usage
13 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Qingdao University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago