Minghui Xiao

First People's Hospital of Yunnan Province

Papers

1

Total Citations

2

H-Index

1

About

Minghui Xiao is a researcher specializing in medical robotics and surgical assistance, with a particular focus on percutaneous interventions. Their most notable contribution is the development of dynamic force modeling for robot-assisted percutaneous operations, a critical advancement that enhances the safety and precision of needle-based procedures. By leveraging intraoperative data, Xiao’s work addresses the challenge of real-time force feedback during surgery, enabling more accurate tissue interaction and reducing the risk of complications. While their highly cited paper, "Dynamic Force Modeling for Robot-Assisted Percutaneous Operation Using Intraoperative Data" (2017), has garnered 2 citations, it represents a foundational step in integrating data-driven approaches into surgical robotics. This research holds promise for improving outcomes in minimally invasive procedures, such as biopsies and drug delivery. Xiao’s work bridges the gap between theoretical modeling and clinical application, contributing to the broader field of computer-assisted surgery. Their efforts underscore the importance of adaptive control systems in medical robotics, paving the way for more intelligent and responsive surgical tools.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Force Modeling for Robot-Assisted Percutaneous Operation Using Intraoperative Data
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: First People's Hospital of Yunnan Province

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago