Blayton Padasdao

University of Hawaiʻi at Mānoa

Papers

8

Total Citations

82

H-Index

6

About

Blayton Padasdao is a biomedical robotics researcher specializing in minimally invasive surgical systems, robotic needle steering, and image-guided interventions. His work sits at the intersection of medical robotics, mechanical modeling, and clinical application, with a particular focus on advancing precision in needle-based procedures such as biopsy, brachytherapy, and drug delivery. Padasdao's most influential contribution — garnering 28 citations — integrates robot-assisted ultrasound tracking with 3D needle shape prediction to enable real-time needle tip localization during steering procedures, a significant advance for clinical safety and accuracy. Building on this foundation, he has developed steerable biopsy needles with motorized manipulation systems, tendon-driven active needle designs, and mechanics-based deflection models that together form a coherent framework for intelligent needle guidance inside soft tissue. His targeted prostate biopsy work, encompassing both teleoperated and automated control systems, demonstrates a strong translational emphasis, bridging laboratory robotics with real clinical workflows. Most recently, he has pursued MRI-conditional robotic platforms enabling curvilinear transperineal prostate biopsy, pushing toward broader clinical accessibility. With over 80 cumulative citations across eight publications, Padasdao has established himself as an emerging and productive voice in surgical robotics and image-guided intervention research.

Research Focus

Key Achievements

6
H-Index
8
Papers
82
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Integrating robot‐assisted ultrasound tracking and 3D needle shape prediction for real‐time tracking of the needle tip in needle steering procedures
28 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Hawaiʻi at Mānoa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago