Latest AI and machine learning research in parkinson's disease for healthcare professionals.
BACKGROUND: Essential tremor (ET), one of the most common neurological disorders is typically evalua...
Spatial and intensity normalizations are nowadays a prerequisite for neuroimaging analysis. Influenc...
Parkinson's disease (PD) is a common neurodegenerative disease, which has attracted more and more at...
Neurodegenerative diseases that affect serious gait abnormalities include Parkinson's disease (PD), ...
BACKGROUND: Identifying patients with early stages of Parkinson's disease (PD) in a home environment...
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previou...
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clini...
INTRODUCTION: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide ...
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is considered a degenerative disorder that affect...
Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. I...
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite...
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson...
Despite having notable advantages over established machine learning methods for time series analysis...
Simultaneous reconstruction of activity and attenuation using the maximum-likelihood reconstruction ...
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurem...
In the last decade robotic devices have been applied in rehabilitation to overcome walking disabilit...
Wavelet Neural Networks are a combination of neural networks and wavelets and have been mostly used ...
OBJECTIVE: To determine the circuit elements required to theoretically describe the stimulus wavefor...
Predicting how a point mutation alters a protein's stability can guide pharmaceutical drug design in...
Discriminative methods commonly produce models with relatively good generalization abilities. Howeve...
PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT...