Xinkai Qu
Papers
2
Total Citations
32
H-Index
2
About
Xinkai Qu is a leading researcher in the field of interventional surgical robotics and medical image-guided navigation, with a focus on enhancing the precision and safety of percutaneous coronary interventions (PCI). His work bridges the gap between clinician behavior and robotic assistance, notably through his highly cited 2019 study (26 citations) that analyzed interventionalists’ natural motion patterns during PCI. This foundational research provided critical insights for designing robotic platforms that better replicate human dexterity, reducing radiation exposure while maintaining procedural efficacy. Qu further advanced the field with his 2023 work on a novel spatial position prediction navigation system, which integrates 3D spatial information to overcome the limitations of traditional 2D digital subtraction angiography (DSA). By improving depth perception and tool tracking, this system enhances surgical accuracy and success rates. With a growing citation impact, Qu’s contributions are shaping the next generation of intelligent, clinician-centered surgical tools, making him a key figure in the evolution of minimally invasive endovascular interventions.
Research Focus
Key Achievements
Top Papers
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