AI-assisted MRI to tell different Parkinsonism types apart
Official title: Clinical performance testing of neuropacs in Parkinsonism diagnosis
Funded at Automated Imaging Diagnostics, LLC · NIH-11178708 · Data updated 2026-11-12
An AI-powered MRI tool aims to help doctors distinguish Parkinson’s disease, MSAp, and PSP in people with Parkinsonism.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Automated Imaging Diagnostics, LLC NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project start | June 15, 2023 |
| Project end | August 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $911,026 |
| NIH project number | 5R42NS132614-03 |
| Project ID | NIH-11178708 on NIH RePORTER |
Who could benefit from this research
✓Could help
People with suspected Parkinsonism or an unclear diagnosis between Parkinson’s disease, multiple system atrophy (parkinsonian variant), and progressive supranuclear palsy are the best candidates.
✕Less likely to help
People without Parkinsonism or those with a long-standing, clearly established diagnosis are unlikely to benefit directly from this project.
What this research studies
This project uses routine diffusion MRI scans on widely available 3 Tesla machines and runs them through an automated imaging tool (Neuropacs) to look for patterns linked to different Parkinsonism types. The AI analyzes diffusion patterns that are safe to obtain and already used in other brain exams. Results from the tool will be compared with clinical diagnoses to measure how well it separates PD, MSAp, and PSP. Participation may involve getting a research MRI or sharing recent clinical MRI scans and medical records.
Why it matters
Potential benefit: If successful, the tool could lead to faster, more accurate diagnoses so patients get the right treatments and join the correct clinical trials sooner.
How similar studies have gone: Prior research using diffusion MRI has shown promise for separating Parkinsonism subtypes, but automated AI-based clinical tools like this are relatively new and still being validated.
Where this research is happening
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Automated Imaging Diagnostics, LLC
Gainesville, United States Active
Researchers
- Principal investigator: Barmpoutis, Angelos — Automated Imaging Diagnostics, LLC
- Study coordinator: Barmpoutis, Angelos
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.