Posts by Kristina Simonyan, MD, PhD, Dr med
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DystoniaBoTXNet: Novel AI Model Predicts Botulinum Toxin Efficacy for Individual Patients With Isolated Dystonia
Kristina Simonyan, MD, PhD, Dr med, and colleagues have developed and tested a convolutional neural network, DystoniaBoTXNet, that uses raw structural brain MRI data to provide an objective, accurate and fast prediction of whether botulinum toxin will benefit an individual patient with isolated focal dystonia.
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New Artificial Intelligence Platform Diagnoses Dystonia With Near-Perfect Accuracy
Dystonia is a disabling neurological condition that can take up to 10 years to diagnose. Researchers at Mass Eye and Ear have developed an Artificial Intelligence-based deep learning platform called DystoniaNet, which is the first technology of its kind to provide an objective diagnosis of the disorder.
Biography
Dr. Kristina Simonyan studies the neural mechanisms of normal and diseased speech motor control and other complex human behaviors. Her clinical research program is focused on focal dystonias, with a special emphasis on spasmodic dysphonia (laryngeal dystonia), as well as tremor, Parkinson’s disease, and epilepsy.
Her work includes the use of multimodal brain imaging, advanced machine learning, neuropathological evaluations, genetic analysis, and clinical trials for identification of the causative pathophysiology of dystonia and other movement disorders and the development of novel opportunities for their objective diagnosis, prediction of risk, and treatment.