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

Status: Recruiting
Location: See location...
Intervention Type: Diagnostic Test
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

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

Eligibility
Participation Requirements
Sex: All
Healthy Volunteers: Accepts Healthy Volunteers
View:

• 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.

Locations
United States
Massachusetts
Massachusetts Eye and Ear Infirmary
Recruiting
Boston
Contact Information
Primary
Kristina Simonyan, MD, PhD
simonyan_lab@meei.harvard.edu
617-573-6016
Time Frame
Start Date: June 1, 2022
Estimated Completion Date: April 30, 2027
Participants
Target number of participants: 1000
Treatments
No Intervention: Retrospective clinical validation of DystoniaNet
Retrospective studies will (1) clinically validate the diagnostic performance of DystoniaNet compared to a normal neurological state (normative test), and (2) develop and test DystoniaNet extensions in comparison with other neurological and non-neurological conditions (differential test).
Experimental: Prospective clinical validation of DystoniaNet
Prospective randomized studies will validate DystoniaNet performance for accurate, objective, and fast diagnosis of dystonia in the actual clinical setting.
Authors
Kristina Simonyan
Sponsors
Leads: Massachusetts Eye and Ear Infirmary

This content was sourced from clinicaltrials.gov

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