RecruitingNot ApplicableNCT05317390

Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia


Sponsor

Massachusetts Eye and Ear Infirmary

Enrollment

1,000 participants

Start Date

Jun 1, 2022

Study Type

INTERVENTIONAL

Conditions

Summary

This research involves retrospective and prospective studies for clinical validation of a DystoniaNet deep learning platform for the diagnosis of isolated dystonia.


Eligibility

Plain Language Summary

Simplified for easier understanding

This study tests an AI-based deep learning platform called DystoniaNet that analyzes brain MRI scans to help diagnose dystonia — a movement disorder causing involuntary muscle contractions and abnormal postures. The study aims to validate whether this tool can reliably distinguish dystonia from other movement disorders. **You may be eligible if...** - You are any age and gender, from diverse backgrounds - You have at least one form of dystonia (such as laryngeal, cervical, oromandibular, blepharospasm, focal hand, musicians' dystonia, segmental, or generalized dystonia) - You have a movement disorder or condition that can mimic dystonia (such as Parkinson's disease, essential tremor, torticollis, or vocal dysphonia) **You may NOT be eligible if...** - You are unable to undergo a brain MRI - You do not have a neurological condition relevant to the study Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTDystoniaNet-based diagnosis of isolated dystonia

DystoniaNet will be used for the diagnosis of dystonia and its differential diagnosis from other neurological and non-neurological disorders mimicking symptoms of dystonia


Locations(1)

Massachusetts Eye and Ear Infirmary

Boston, Massachusetts, United States

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NCT05317390


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