DystoniaNet Diagnosis for Dystonia
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to validate a computer program called DystoniaNet that helps doctors diagnose dystonia more accurately. It targets patients with isolated dystonia who often experience delays in diagnosis. The program uses artificial intelligence to learn from data and identify signs of the disorder, improving diagnosis speed and accuracy.
Do I need to stop my current medications for the trial?
The trial information does not specify whether you need to stop taking your current medications.
How does the DystoniaNet treatment differ from other treatments for dystonia?
What data supports the effectiveness of the DystoniaNet treatment for diagnosing dystonia?
The DystoniaNet deep learning platform has shown a high accuracy of 98.8% in diagnosing dystonia by identifying specific brain regions associated with the condition. This is a significant improvement over the current 34% agreement between clinicians, suggesting that DystoniaNet can enhance clinical decision-making by providing a more reliable diagnosis.23456
Who Is on the Research Team?
Kristina Simonyan, MD, PhD
Principal Investigator
Massachusetts Eye and Ear
Are You a Good Fit for This Trial?
This trial is for individuals with various forms of dystonia or conditions that resemble dystonic symptoms, such as Parkinson's disease and essential tremor. It includes people of all ages, genders, and ethnic backgrounds. Those who can't give consent or have MRI-incompatible body modifications or devices are excluded.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Retrospective Study
Retrospective studies will clinically validate the diagnostic performance of DystoniaNet compared to a normal neurological state and other conditions.
Prospective Study
Prospective randomized studies will validate DystoniaNet performance for accurate, objective, and fast diagnosis of dystonia in the clinical setting.
Follow-up
Participants are monitored for safety and effectiveness after diagnosis using the DystoniaNet algorithm.
What Are the Treatments Tested in This Trial?
Interventions
- DystoniaNet
Find a Clinic Near You
Who Is Running the Clinical Trial?
Massachusetts Eye and Ear Infirmary
Lead Sponsor