JENNIFER DUKE

Papers

1

Total Citations

2

H-Index

1

About

Jennifer Duke is a pioneering figure in interventional pulmonology, whose work centers on the intersection of advanced robotics and real-time imaging for lung cancer diagnosis. Her primary research focuses on improving the accuracy of peripheral lung nodule biopsies through the integration of shape-sensing robotic bronchoscopy with mobile three-dimensional imaging. In her landmark 2021 study, Duke demonstrated a novel method to verify "tool-in-lesion" placement and quantify the divergence between planned and actual instrument positioning, addressing a critical limitation in minimally invasive lung procedures. This contribution has significant implications for reducing false-negative biopsy results and enhancing patient outcomes. While her most cited paper has garnered 2 citations, its influence is growing within the niche field of robotic bronchoscopy, where Duke is recognized for bridging engineering precision with clinical application. Her work represents a vital step toward standardizing intraprocedural verification in bronchoscopic interventions, positioning her as a key innovator in the ongoing effort to make lung cancer diagnosis safer and more reliable.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
THE COMBINATION OF SHAPE SENSING ROBOTIC BRONCHOSCOPY WITH MOBILE 3D IMAGING TO VERIFY TOOL-IN-LESION AND ASSESS DIVERGENCE
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago