Xiongjie Bi

Guangxi University of Science and Technology

Papers

Total Citations

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About

Xiongjie Bi is a clinical researcher whose work sits at the intersection of neurosurgery, movement disorders, and advanced surgical technology. His primary research focus is on optimizing deep brain stimulation (DBS) for Parkinson’s disease, with a particular emphasis on evaluating the safety and efficacy of robot-assisted surgical techniques. Bi’s most cited work, a 2024 meta-analysis published in a leading neurosurgical journal, systematically reviewed data from four major databases to assess outcomes of robot-assisted DBS. This study, which has already garnered 10 citations, provided critical evidence that robotic guidance can enhance the precision of electrode placement while reducing operative risks, offering a compelling alternative to traditional frame-based methods. By synthesizing data from multiple international centers, Bi’s analysis has helped establish a clearer risk-benefit profile for this emerging technology. His contributions are particularly valuable for neurosurgeons and movement disorder specialists seeking to adopt minimally invasive, high-accuracy approaches. As robot-assisted DBS continues to gain traction, Bi’s work serves as a foundational reference, demonstrating his role in advancing evidence-based neurosurgical practice and improving outcomes for patients with Parkinson’s disease.