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AI aims to cut years off dystonia diagnosis time

NCT ID NCT05317390

Diagnosis Sponsor: Massachusetts Eye and Ear Infirmary Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing a computer program called DystoniaNet that uses artificial intelligence to help doctors diagnose isolated dystonia, a movement disorder. The trial will enroll 1000 people with dystonia or other conditions that look like it, such as Parkinson's disease or essential tremor. The goal is to see if the AI can correctly identify dystonia and shorten the time it takes to get a diagnosis.

What this could mean

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

Active substance
DystoniaNet deep learning platform (diagnostic test)
What this could lead to
If successful, this could provide a faster, more accurate way to diagnose dystonia, reducing the time from symptom onset to correct diagnosis.
What could go wrong
This is a validation study, not a treatment trial. The AI may not perform well in all patient groups or settings, and it is not yet ready for widespread clinical use.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 1,000 people

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

Started

Jun 2022

Expected to finish

Apr 2028

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.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: 1. Males and females of diverse racial and ethnic backgrounds, with age across the lifespan; 2. Patients will have at least one of the forms of dystonia, including focal dystonia (e.g., laryngeal, cervical, oromandibular, blepharospasm, focal hand, musicians), segmental dystonia, or generalized dystonia; 3. Patients will have other movement disorders (Parkinson's disease, essential tremor, dyskinesia, myoclonus) and other non-neurological conditions (tic disorders, torticollis, ulnar nerve entrapments, temporomandibular disorders, dysphonia) that mimic dystonic symptoms. Exclusion criteria: 1. Patients who are incapable of giving informed consent; 2. Patients who are unable to undergo brain MRI due to the presence of certain tattoos and ferromagnetic objects in their bodies (e.g., implanted stimulators, surgical clips, prosthesis, artificial heart valve) that cannot be removed or due to pregnancy or breastfeeding at the time of the study.

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Conditions

The condition(s) this trial relates to.

cubital tunnel syndrome drug-induced dyskinesia Dyskinesias Dystonia dystonic disorder essential tremor inherited torticollis isolated dystonia Myoclonus Parkinson disease spasmodic dystonia temporomandibular joint disorder tic disorder Torticollis Ulnar Nerve Compression Syndromes ulnar neuropathy

As listed by the trial registrant

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

Drug induced dystonia Dyskinesias Dysphonia Dystonia Essential tremor Myoclonus Parkinson disease Temporomandibular joint disorders Tic disorders Torticollis Ulnar nerve entrapment

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Massachusetts Eye and Ear Infirmary

    RECRUITING

    Boston, Massachusetts, 02114, United States

More trials for these conditions

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