Papers

2

Total Citations

30

H-Index

2

About

Dr. Ke Tan is a researcher at the intersection of robotics, orthopaedic surgery, and radiation safety. Their primary research focuses on developing intelligent path-planning algorithms to minimize radiation exposure for both human workers and robotic systems in medical and industrial settings. Dr. Tan’s most influential work, “A radiation avoiding algorithm of path optimization for radiation protection of workers and robots” (2019, 20 citations), introduces a novel computational framework that dynamically adjusts robotic trajectories to reduce cumulative radiation dose—a critical contribution for safer nuclear environments and fluoroscopy-guided procedures. More recently, Dr. Tan has applied robotic precision to orthopaedic trauma, investigating whether robot-assisted percutaneous screw placement combined with tarsal sinus incision yields superior outcomes for calcaneal fractures compared to traditional open surgery. Their 2023 study (10 citations) provides compelling evidence for improved functional recovery and reduced complications at minimum two-year follow-up. By bridging robotics, radiation protection, and surgical innovation, Dr. Tan’s work advances both occupational safety and patient care, demonstrating how algorithmic optimization can directly translate into clinical and operational benefits.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A radiation avoiding algorithm of path optimization for radiation protection of workers and robots
20 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago