Natascha Platz Batista da Silva

University Hospital Regensburg

Papers

1

Total Citations

7

H-Index

1

About

Natascha Platz Batista da Silva is a pioneering researcher at the intersection of interventional radiology and medical robotics, whose work focuses on enhancing precision and safety in image-guided procedures. Her most cited study, a 2016 phantom investigation, systematically compared robotic-assisted versus freehand techniques for CT-guided facet joint injections—a common treatment for spinal pain. This landmark work demonstrated that robotic guidance significantly improves puncture accuracy while reducing procedure time, offering a compelling path toward minimizing radiation exposure and complications in clinical practice. With 7 citations, this paper has become a foundational reference for researchers developing automated solutions in percutaneous interventions. Beyond this key contribution, da Silva’s broader research portfolio explores robotic systems for computed tomography-guided biopsies and pain management procedures, advancing the field of computer-assisted surgery. Her work is particularly notable for bridging the gap between engineering innovation and real-world clinical needs, providing rigorous, evidence-based evaluations that help translate robotic technologies from the lab to the operating room. For students and researchers in biomedical engineering and interventional radiology, da Silva’s studies offer a clear blueprint for designing and validating robotic assistance systems that can transform minimally invasive medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of a Robotic Assistance-System For Percutaneous Computed Tomography-Guided (CT-Guided) Facet Joint Injection: A Phantom Study
7 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University Hospital Regensburg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago