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AI reads brain scans to spot Parkinson's lookalikes

NCT ID NCT05913687

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This study tests an AI tool called AIDP that analyzes MRI scans to help diagnose Parkinson's disease and two similar conditions (MSA and PSP). Researchers at 21 sites will compare the AI's diagnosis to that of movement disorder specialists. The goal is to see if the tool can improve diagnostic accuracy.

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 of imaging data
What this could lead to
If successful, this could provide doctors with a reliable, automated way to distinguish between Parkinson's disease and similar conditions using MRI scans.
What could go wrong
This is a diagnostic accuracy study, not a treatment trial. The tool may not outperform specialist diagnosis in real-world settings, and results may not apply to all patient populations.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

About 315 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jul 2021

Expected to finish

Mar 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Adults between the ages of 40 and 80 who meet one of the three diagnoses: PD, MSAp, or PSP \*As of 11/9/23, we have filled the cohorts for both PD and PSP patients. We are only enrolling MSAp patients at this time.

Ages

40 to 80 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Parkinson's disease diagnosis within 5-9 years of baseline date * MSAp diagnosis * PSP diagnosis Exclusion Criteria: * metal implants in the body that preclude an MRI (pacemaker, metallic clip, neurostimulator, etc) * claustrophobia * pregnancy

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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

  • Albany Medical College

    Albany, New York, 12020, United States

  • Augusta University

    Augusta, Georgia, 30912, United States

  • Beth Israel Deaconess Medical Center

    Boston, Massachusetts, 02215, United States

  • Centre for Addiction and Mental Health

    Toronto, M5T 2S8, Canada

  • Duke University Medical Center

    Durham, North Carolina, 22705, United States

  • Johns Hopkins University

    Lutherville, Maryland, 21093, United States

  • Massachusetts General Hospital

    Charlestown, Massachusetts, 02129, United States

  • Northwestern University

    Chicago, Illinois, 60611, United States

  • Ottawa Hospital Research Institute

    Ottawa, K1Y 4E9, Canada

  • Pennsylvania State University

    Hershey, Pennsylvania, 17033, United States

  • University of Alabama at Birmingham

    Birmingham, Alabama, 35294, United States

  • University of California San Diego

    La Jolla, California, 92037, United States

  • University of California San Francisco

    San Francisco, California, 94158, United States

  • University of Chicago

    Chicago, Illinois, 60637, United States

  • University of Florida

    Gainesville, Florida, 32611, United States

  • University of Kentucky

    Lexington, Kentucky, 40536, United States

  • University of Michigan

    Ann Arbor, Michigan, 48106, United States

  • University of Minnesota

    Minneapolis, Minnesota, 55414, United States

  • University of South Florida

    Tampa, Florida, 33613, United States

  • Wake Forest University

    Winston-Salem, North Carolina, 27157, United States

  • Washington University in St. Louis

    St Louis, Missouri, 63110, United States

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