Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the pathologic...
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for moveme...
BackgroundDigital speech analysis affords robust markers of Parkinson's disease (PD). However, most ...
Lysine β-hydroxybutyrylation (Kbhb) is an emerging post-translational modification regulated by β-hy...
Cognitive impairment is an important constraint for PwPD with Parkinson's disease (PwPD). Digital as...
Organic-inorganic hybrid perovskites combine strong optical absorption, long carrier lifetimes, and ...
BACKGROUND: Parkinson's disease (PD) remains challenging to diagnose at early stages owing to subtle...
This study aimed to develop and evaluate a spatiotemporal deep-neural-network (stDNN) using resting-...
BACKGROUND: Resting-state functional MRI (rs-fMRI) has been applied to investigate cognitive impairm...
Parkinson's disease (PD) is a disorder involving progressive degeneration of the nervous system. Its...
INTRODUCTION: Digital technologies are increasingly integrated into neurorehabilitation programs for...
Early-stage Parkinson's disease (PD) presents with subtle motor symptoms that complicate timely diag...
Neurological disorders refer to a diverse group of conditions that affect the brain, peripheral nerv...
BACKGROUND: Parkinson's disease (PD) is a rapidly growing global health concern, with aging populati...
Isolated rapid eye movement (REM) sleep behaviour disorder (RBD) is an early stage of alpha-synuclei...
Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder worldwide, with projectio...
Retinal procedures require precise instrument manipulation to avoid iatrogenic injuries. Intraoperat...
Neurodegenerative diseases (NDDs) such as Alzheimer's disease (AD), essential tremor (ET), multiple ...
Deep learning (DL) methods increasingly outperform classical approaches in brain MRI analysis, yet t...
Deep neural networks in medical and edge environments often face computational and memory constraint...
PURPOSE: To evaluate whether semiquantitative striatal [¹²³I]FP-CIT SPECT-derived metrics improve cl...