AI could make Alzheimer's brain scans safer and faster

NCT ID NCT07309107

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

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether a computer algorithm can reduce the amount of radiation or time needed for a special brain scan (amyloid PET) used to diagnose Alzheimer's disease. Researchers will compare standard scans with simulated lower-dose scans processed by the algorithm. If it works, it could make these scans more comfortable and affordable for patients.

What this could mean

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

Active substance: deep learning-based noise reduction algorithm
What this could lead to: If successful, this could allow safer, faster, and cheaper amyloid PET scans for diagnosing Alzheimer's disease.
What could go wrong: This is a small, early-phase study (40 participants) testing simulated dose reductions, not real clinical use. The algorithm may not work as well in practice or for all patients.

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.

Alzheimer disease

As listed by the trial registrant

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

ALZHEIMER DISEASE

Contacts and locations

Locations

CHRU NANCY Brabois, nuclear medicine department
RECRUITING

Vandœuvre-lès-Nancy, 54511, France
Nancy's hospital
RECRUITING

Vandœuvre-lès-Nancy, 54511, France
Nuclear medicine department CHRU de NANCY Brabois
RECRUITING

Vandœuvre-lès-Nancy, 54511, France

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