Robotic system to help with minimally invasive back decompression and lumbar fusion
Official title: Robotic System for Spinal Decompression and Interbody Fusion
Funded at University of Arkansas at Fayetteville · NIH-11179771 · Data updated 2026-11-12
This project is building a robot with new imaging tools to help surgeons perform minimally invasive decompression and lumbar fusion for people with nerve-compressing back problems.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arkansas at Fayetteville NIH-funded |
| Lab location | 1 site (Fayetteville, United States) |
| Project start | April 18, 2022 |
| Project end | March 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $509,336 |
| NIH project number | 7R01AR080315-03 |
| Project ID | NIH-11179771 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates would be adults who need lumbar decompression or fusion for conditions like spinal stenosis, degenerative disc disease, spondylolisthesis, or related nerve-compression problems and who are eligible for minimally invasive surgery.
✕Less likely to help
People whose back pain is managed without surgery, those with conditions in other spine regions (like the neck), or those who are not surgical candidates would not expect direct benefit from this project.
What this research studies
From my perspective as a patient, the team is creating a robotic workstation that combines advanced imaging and visualization to plan and guide complex spine operations. The system is focused on two common procedures: laminectomy decompression and transforaminal lumbar interbody fusion (TLIF). Developers plan to use image-guided planning, real-time intraoperative monitoring, navigation, and plan-updating to improve how the surgeon works during minimally invasive procedures. Early work will create and test a prototype before any clinical use with patients.
Why it matters
Potential benefit: If successful, the robot could make minimally invasive spine surgery more precise, reduce tissue damage, and shorten recovery times.
How similar studies have gone: Robotic guidance for placing spinal implants has shown improved accuracy in other work, but a fully integrated image-guided robotic system for decompression and TLIF is a newer and less proven approach.
Where this research is happening
-
University of Arkansas at Fayetteville
Fayetteville, United States Active
Researchers
- Principal investigator: Armand, Mehran — University of Arkansas at Fayetteville
- Study coordinator: Armand, Mehran
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.