Deqiang Xiao

Beijing Institute of Technology

Papers

1

Total Citations

31

H-Index

1

About

Deqiang Xiao is a leading researcher at the intersection of surgical robotics, augmented reality (AR), and medical image computing, with a primary focus on advancing precision in craniomaxillofacial surgery. His most notable contribution is the development of a robot-assisted AR surgical navigation system for mandibular reconstruction, which accurately superimposes preoperative osteotomy plans for both the mandible and fibula directly into the surgical field. This work, published in 2023 and garnering 31 citations, addresses a critical challenge in complex reconstructive surgery by integrating optical tracking with robotic assistance, enabling surgeons to perform osteotomies more quickly, safely, and accurately. By bridging the gap between virtual planning and real-time execution, Xiao’s research directly enhances surgical outcomes and reduces operative risks. His work represents a significant step toward the clinical translation of AR-guided robotic systems, positioning him as a key innovator in the field of computer-assisted surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
31
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Robot‐assisted augmented reality surgical navigation based on optical tracking for mandibular reconstruction surgery
31 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago