AI aims to cut years off dystonia diagnosis time
NCT ID NCT05317390
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.
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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
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Massachusetts Eye and Ear Infirmary
RECRUITINGBoston, Massachusetts, 02114, United States
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