Stephen W. Smith

Duke University

Papers

2

Total Citations

73

H-Index

2

About

Stephen W. Smith is a pioneering researcher at the intersection of medical ultrasound imaging and robotic surgical guidance systems. His work has significantly advanced the application of real-time three-dimensional (RT3D) ultrasound technology in clinical and surgical settings, with a particular focus on autonomous and semi-autonomous robotic procedures. Smith's most notable contribution lies in demonstrating the feasibility of integrating 3-D ultrasound imaging with robotic platforms to enhance precision in minimally invasive interventions. His 2009 study on autonomous robotic breast biopsy guidance, which has garnered 45 citations, established a compelling proof-of-concept for AI-assisted diagnostic procedures, potentially reducing operator dependency and improving biopsy accuracy. His earlier 2006 work extended this vision to laparoscopic surgery, exploring how RT3D ultrasound could enrich the spatial information available to surgeons during gynecological and urological procedures—a paper that has earned 28 citations. Collectively, Smith's research addresses a critical challenge in modern surgery: providing real-time, volumetric imaging feedback to robotic systems operating in complex anatomical environments. His contributions have helped lay the groundwork for the next generation of image-guided robotic surgical tools.

Research Focus

Key Achievements

2
H-Index
2
Papers
73
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Three-Dimensional Ultrasound Guidance of Autonomous Robotic Breast Biopsy: Feasibility Study
45 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Duke University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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