AI reads brain scans to spot Parkinson's early

NCT ID NCT05080296

Completed Diagnosis Sponsor: Central Hospital, Nancy, France Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether artificial intelligence (AI) can help diagnose Parkinson's disease by analyzing brain scans called DaTSCAN SPECT. Researchers used machine learning to tell the difference between healthy people, those with Parkinson's, and those with similar conditions. The study looked at scans from over 1,600 patients taken between 2011 and 2017. If the AI works well, it could make diagnosis faster and more accurate.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: machine learning algorithm
What this could lead to: If successful, this AI tool could help doctors diagnose Parkinson's disease earlier and more accurately, reducing misdiagnosis.
What could go wrong: This is a completed analysis of existing scans, not a real-world test. The AI may not work as well in different hospitals or with diverse patient groups.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Parkinson disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DATSCAN SPECT SCANS

Contacts and locations

Locations

Nuclear medicine department CHRU de NANCY

Vandœuvre-lès-Nancy, 54511, France

More trials for these conditions

Other studies related to the condition(s) this trial covers.