Background: Parkinson's disease (PD) is a progressive disease, which is associated with
the loss of activities of daily living independency. Several rehabilitation options have been …

The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson's
Disease (PD) offers substantial potential, particularly if the results can be integrated into …

One of the key challenges in Big Data for clinical research and healthcare is how to integrate
new sources of data, whose relation to disease processes are often not well understood …

Improving health-related quality of life (QoL) is crucial for managing Parkinson's disease.
However, QoL outcomes after deep brain stimulation (DBS) of the subthalamic nucleus …

Abstract The Motor Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-
UPDRS) is designed to assess bradykinesia, the cardinal symptoms of Parkinson's disease …

We present a user-centric validation of a teleneurology platform, assessing its effectiveness
in conveying screening information, facilitating user queries, and offering resources to …

Introduction: Parkinson's disease (PD) is characterized by motor symptoms whose
progression is typically assessed using clinical scales, namely the Movement Disorder …

Advancements in deep learning speech representations have facilitated the effective use of
extensive unlabeled speech datasets for Parkinson's disease (PD) modeling with minimal …

Abstract Background Artificial Intelligence is influencing medicine on all levels. Neurology,
one of the most complex and progressive medical disciplines, is no exception. No longer …

In this study, we investigate the performance of computer vision AI algorithms in predicting
patient disposition from the emergency department (ED) using short video clips. Clinicians …