Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia
Recruiting now · Not applicable
Conditions studied: Dystonia, Drug Induced Dystonia, Parkinson Disease, Essential Tremor, Dyskinesias, Myoclonus, Tic Disorders, Torticollis, Ulnar Nerve Entrapment, Temporomandibular Joint Disorders, Dysphonia
In brief
This research involves retrospective and prospective studies for clinical validation of a DystoniaNet deep learning platform for the diagnosis of isolated dystonia.
Key facts
- Study ID
- NCT05317390
- Run by
- Massachusetts Eye and Ear Infirmary
- People needed
- 1000
- Starts
- 2022-06-01
- Expected to finish
- 2028-04-30
- Last updated by the study team
- 2025-12-02
Who can join
Age: any. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Males and females of diverse racial and ethnic backgrounds, with age across the lifespan;
- 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;
- 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.
You may not qualify if…
- Patients who are incapable of giving informed consent;
- 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.
Where it is running
- Massachusetts Eye and Ear Infirmary — Boston, Massachusetts, United States (enrolling)
Full record on ClinicalTrials.gov
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