Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Psychiatric symptoms in Parkinson's disease (PD) are highly prevalent and challenging to treat. This...
Precision management of Parkinson's disease (PD) requires frequent levodopa (L-dopa) dose adjustment...
BACKGROUND: Parkinson's disease (PD) progression is highly heterogeneous, complicating clinical mana...
BACKGROUND: The genesis of Parkinson's disease (PD), a common central neurodegenerative disorder, in...
Motor complications become increasingly prominent as Parkinson's disease (PD) progresses. Although d...
OBJECTIVES: Early diagnosis of Parkinson's disease (PD) is complicated. Speech impairment, as an ear...
Major depressive disorder (MDD) is a risk factor for neurodegeneration, yet its heterogeneity makes ...
ObjectiveTo review the application of crowdsourcing and machine learning contests in Parkinson's dis...
Early diagnosis of Parkinson's disease (PD) is challenging due to the difficulty in identification o...
Robotic-assisted surgery (RAS) extends minimally invasive surgery by restoring dexterity, tremor fil...
Parkinson's disease (PD) poses a major unmet therapeutic challenge, with most drug candidates failin...
BACKGROUND: Parkinson's disease is a rapidly growing neurodegenerative disorder with various motor a...
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...