Jordan P. Amadio

Emory University, The University of Texas at Austin

Papers

11

Total Citations

130

H-Index

6

About

Jordan P. Amadio is a pioneering researcher at the intersection of surgical robotics, spinal surgery, and biomechanical engineering, whose work is reshaping how clinicians approach minimally invasive spine procedures. With a foundational 2014 review on robotics in spine surgery — now carrying 57 citations — Amadio established early expertise in the promise and practicality of robot-assisted surgical systems. His more recent body of work centers on a transformative innovation: the Concentric Tube Steerable Drilling Robot (CT-SDR), a flexible robotic platform capable of executing curved, patient-specific drilling trajectories that rigid conventional instruments simply cannot achieve. This technology has proven especially significant for osteoporotic patients, where traditional pedicle screw fixation frequently fails due to poor bone mineral density. By integrating biomechanics-aware design frameworks, finite element modeling, and additively manufactured flexible pedicle screws, Amadio's research addresses one of spine surgery's most persistent clinical challenges. His expanding work on pelvic fixation and autonomous surgical frameworks further signals a broad vision for intelligent, adaptive robotic surgery. Collectively accumulating over 128 citations, Amadio's contributions represent a compelling convergence of engineering ingenuity and clinical relevance that continues to gain momentum across the surgical robotics community.

Research Focus

Key Achievements

6
H-Index
11
Papers
130
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robotics and the spine: a review of current and ongoing applications
57 citations · 2014
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Emory University, The University of Texas at Austin

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago