Joshua J. Siegel

Stanford University

Papers

1

Total Citations

43

H-Index

1

About

Joshua J. Siegel is a leading researcher in the field of medical robotics, with a primary focus on the design and control of steerable needle systems for minimally invasive procedures. His most influential work, "Design and evaluation of duty-cycling steering algorithms for robotically-driven steerable needles" (2014, 43 citations), addresses a critical challenge in interventional medicine: enabling needles to navigate curved paths through biological tissue. Siegel pioneered the development of duty-cycling algorithms that allow asymmetric-tip needles to dynamically adjust their trajectory by alternating between cutting and non-cutting states, effectively steering the needle along a desired path. This contribution has significant implications for improving the accuracy and safety of biopsies, drug delivery, and brachytherapy, as it reduces the need for multiple needle insertions and minimizes tissue trauma. His work is widely recognized for its practical impact on clinical robotics, offering a foundation for autonomous needle guidance systems. Siegel’s research continues to push the boundaries of robotic-assisted interventions, making him a notable figure in the intersection of robotics, control theory, and biomedical engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
43
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Design and evaluation of duty-cycling steering algorithms for robotically-driven steerable needles
43 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Stanford University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago