Peiyuan Luo

Papers

1

Total Citations

5

H-Index

1

About

Peiyuan Luo is a rising figure in interventional pulmonology, whose work centers on improving the diagnostic accuracy of peripheral pulmonary nodule biopsy. His primary research focus lies at the intersection of advanced bronchoscopic technologies and image-guided navigation. Luo’s most cited work, a 2025 study comparing shape-sensing robotic-assisted bronchoscopy (ssRAB) to virtual bronchoscopic navigation, represents a significant contribution to the field. This investigation demonstrated that ssRAB’s enhanced catheter articulation and stability could potentially outperform traditional navigation methods, offering a more reliable pathway to diagnosing early-stage lung cancer. With 5 citations already, this paper is quickly establishing itself as a key reference for clinicians adopting robotic platforms. Beyond this landmark study, Luo’s broader portfolio explores how emerging technologies can minimize procedural variability and improve patient outcomes. His research is particularly valuable for trainees and practitioners seeking evidence-based guidance on integrating robotics into their practice, positioning him as a thoughtful voice in the ongoing evolution of minimally invasive thoracic diagnostics.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Shape sensing robotic assisted bronchoscopy versus virtual bronchoscopic navigation in the diagnosis of peripheral pulmonary nodules
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago