Actively Recruiting
Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia
Led by Massachusetts Eye and Ear Infirmary · Updated on 2025-12-02
1000
Participants Needed
1
Research Sites
308 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This research involves retrospective and prospective studies for clinical validation of a DystoniaNet deep learning platform for the diagnosis of isolated dystonia.
CONDITIONS
Official Title
Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Males and females of all ages and diverse racial and ethnic backgrounds
- Patients diagnosed with at least one form of dystonia, including focal, segmental, or generalized dystonia
- Patients with movement disorders such as Parkinson's disease, essential tremor, dyskinesia, or myoclonus
- Patients with non-neurological conditions mimicking dystonia symptoms, including tic disorders, torticollis, ulnar nerve entrapments, temporomandibular disorders, or dysphonia
You will not qualify if you...
- Patients unable to provide informed consent
- Patients who cannot undergo brain MRI due to tattoos, ferromagnetic implants, pregnancy, or breastfeeding
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Massachusetts Eye and Ear Infirmary
Boston, Massachusetts, United States, 02114
Actively Recruiting
Research Team
K
Kristina Simonyan, MD, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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