AI reads brain scans to spot Parkinson's early
NCT ID NCT03872102
First seen Jan 28, 2026 · Last updated Jun 23, 2026 · Updated 20 times
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.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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UT Southwestern Medical Center
RECRUITINGDallas, Texas, 75390, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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.
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.