AI reads brain scans to spot Parkinson's early
NCT ID NCT03872102
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether artificial intelligence (AI) can analyze brain scans to help diagnose Parkinson's disease and related conditions like multiple system atrophy. Researchers will also see if the scans can predict how fast the disease will progress. The study involves 90 adults with these conditions and uses advanced imaging and machine learning.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to better, earlier diagnosis of Parkinson's and similar diseases, and help predict how fast the disease will progress.
- What could go wrong
- This is an early-stage observational study with only 90 participants. The AI models may not work as well in larger, more diverse groups, and the findings need further validation.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for MULTIPLE SYSTEM ATROPHY are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
UT Southwestern Medical Center
RECRUITINGDallas, Texas, 75390, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Planning ahead: could a simple program transform Parkinson's care?
- Sound waves vs. Parkinson's: can ultrasound calm tremors and stiffness?
- Can a nudge in your chart unlock Life-Saving genetic clues?
- Can MRI reveal the Brain's response to deep brain stimulation?
- Can we outsmart Gaucher's hidden toll on lungs, bones, and brain?
- Could a brain disease change behavior years before diagnosis?