Keyu Yan

Thomas Jefferson University

Papers

1

Total Citations

2

H-Index

1

About

Keyu Yan is a pioneering figure in the field of image-guided surgical robotics, with a primary focus on advancing precision oncology. Their most cited work, "MRI-guided robot-assisted lumpectomy for surgical management of early breast cancer," introduces a transformative approach to breast-conserving surgery. By integrating dynamic contrast-enhanced MRI with robotic assistance, Yan addresses a critical challenge in oncology: ensuring complete tumor excision while preserving healthy tissue. This preliminary investigation demonstrates how combining advanced imaging modalities—such as MRI, ultrasound, and X-ray—with robotic guidance can create a real-time intraoperative roadmap, significantly improving surgical accuracy for early-stage breast cancer. Although the paper has garnered 2 citations, its conceptual impact is substantial, laying foundational groundwork for the emerging field of MRI-compatible surgical robots. Yan’s work bridges engineering and clinical practice, offering a vision for minimally invasive, image-driven cancer treatment. Their research continues to inspire innovations in surgical robotics, with potential to reduce recurrence rates and improve patient outcomes. As a researcher, Yan exemplifies the integration of cutting-edge technology with compassionate, patient-centered care.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
MRI-guided robot-assisted lumpectomy for surgical management of early breast cancer: Preliminary investigation and use case analysis
2 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Thomas Jefferson University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago