Anastasiia A. Rudkovskaia

The University of Texas Southwestern Medical Center

Papers

1

Total Citations

63

H-Index

1

About

Anastasiia A. Rudkovskaia is a leading figure in interventional pulmonology, specializing in advanced bronchoscopic techniques for the diagnosis of peripheral pulmonary lesions. Her major contributions center on integrating shape-sensing robotic-assisted bronchoscopy (SS-RAB) with radial endobronchial ultrasound (r-EBUS) and cone beam computed tomography (CBCT) to dramatically improve diagnostic yield for small and difficult-to-reach lung nodules. Her landmark 2022 study, which has garnered over 60 citations, demonstrated that this multimodal approach achieves a diagnostic accuracy exceeding 90%, setting a new standard for minimally invasive lung cancer detection. Rudkovskaia’s work is pivotal in reducing the need for more invasive surgical biopsies, directly impacting patient outcomes by enabling earlier, safer diagnosis. Her research has been widely adopted in clinical guidelines and has inspired further innovation in robotic navigation platforms. With a growing citation footprint and a reputation for rigorous clinical trials, Rudkovskaia continues to shape the future of precision pulmonology, bridging engineering and bedside medicine to transform how lung cancer is detected and managed.

Research Focus

Key Achievements

1
H-Index
1
Papers
63
Total Citations
63
Avg Citations/Paper
🏆 Most Cited Paper
Shape-Sensing Robotic-Assisted Bronchoscopy with Concurrent use of Radial Endobronchial Ultrasound and Cone Beam Computed Tomography in the Evaluation of Pulmonary Lesions
63 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: The University of Texas Southwestern Medical Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago