Resolution Dependence of Machine Learning for Differential Diagnosis of Parkinsonian Eye Movements
Objective: To establish the extent to which high temporal resolution is required to differentiate between parkinsonian disease states from eye movements. Background: Previous studies have…Dopaminometer: A Smartphone-Based Application to Predict Striatal Dopaminergic Deficit in Prodromal and Manifest Parkinson’s disease
Objective: To assess the feasibility of a smartphone-based application (“Dopaminometer”) for predicting abnormal vs. normal dopamine transporter (DaT) scans and dopaminergic ratios in individuals with…Outcomes of Algorithm Guided DBS Programming: A case series
Objective: With the growing availability of technology-guided deep brain stimulation (DBS) programming, it is increasingly challenging to determine when and how to use these technologies…Efficacy and Feasibility of Telemedicine-Based Dietary Intervention vs. Outpatient Supervision for Drug-Resistant Multiple System Atrophy in Postmenopausal Women During COVID-19
Objective: This study aimed to evaluate the feasibility, safety, and patient satisfaction of initiating and following up on MAD via telemedicine using the Telegram app,…Examining Disparities and Device Usage in Outpatient Telemedicine Visits Amongst Movement Disorders Patients
Objective: To characterize trends in device usage (mobile-device vs. personal computer (PC)) across demographic factors for video-based telemedicine visits in an urban tertiary Movement Disorders…Predicting Parkinson’s Disease Motor Progression Using Clinical and Digital Data
Objective: To define motor progression subphenotypes in Parkinson’s disease (PD) and evaluates the predictive power of clinical and smartphone data in distinguishing slow from fast…Expanding the Scope Beyond Neurosurgery: A Systematic Review on MRgFUS Complications
Objective: This systematic review aims to investigate the complications associated with MRgFUS (magnetic resonance-guided high intensity focused ultrasound) for neurological disorders and determine their frequency…Bridging the Digital Gap: A Global Survey of Technology Adoption by the MDS Technology Study Group
Objective: To enhance our understanding of the clinical use of digital diagnostic and monitoring technologies among movement disorders clinicians worldwide. Background: The field of movement…Feasibility of Telemedicine Approaches in the OxQUIP Study
Objective: To evaluate the feasibility of remote telehealth and digital monitoring telemedicine approaches in a longitudinal study of people living with Parkinson’s disease (PwP) and…Machine Learning Model using Eye Movements for the Differential Diagnosis of iPD and Atypical Parkinsonian Syndromes
Objective: To develop a machine learning (ML) model to first between differentiate between healthy controls, idiopathic PD, Atypical Parkinsonian syndromes and then further subclassify as…
- « Previous Page
- 1
- …
- 19
- 20
- 21
- 22
- 23
- …
- 1734
- Next Page »