Mihir Patwardhan

University of North Carolina at Chapel Hill

Papers

1

Total Citations

4

H-Index

1

About

Mihir Patwardhan’s research centers on the automation of medical steerable needles—flexible instruments capable of navigating curvilinear paths through tissue to reach targets while avoiding critical structures. His major contribution lies in developing a quantitative metric to identify robust start positions for these devices, addressing a critical gap in the transition from manual placement to automated control. In his most-cited work, “A Metric for Finding Robust Start Positions for Medical Steerable Needle Automation” (2022, 4 citations), Patwardhan provides a systematic method to optimize the initial insertion point, enhancing the reliability and safety of needle-based interventions. This work is foundational for improving outcomes in procedures like biopsies and localized drug delivery. By tackling the handoff between human operators and automation, Patwardhan’s research bridges robotics and clinical practice, offering a pathway toward more precise, less invasive treatments. His contributions are particularly notable for their potential to reduce procedural variability and improve patient safety, marking him as an emerging voice in medical robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Metric for Finding Robust Start Positions for Medical Steerable Needle Automation
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of North Carolina at Chapel Hill

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago