Latest AI and machine learning research in parkinson's disease for healthcare professionals.
BACKGROUND: Synucleinopathies include a spectrum of disorders varying in features and severity, including idiopathic/isolated REM sleep behaviour disorder (iRBD), Parkinson's disease (PD), and dementia with Lewy bodies (DLB). Distinct brain atrophy patterns may already be seen in iRBD; however, how brain atrophy begins and progresses remains unclear.
Parkinson's Disease (PD), a frequently diagnosed neurodegenerative condition, poses a major global challenge. Early diagnosis and intervention are crucial for PD treatment. This study proposes a diagnostic model for PD that analyzes volatile organic compounds (VOCs) from ear canal secretions (ECS). Using gas chromatography-mass spectrometry (GC-MS) to examine ECS samples from patients, four VOC co...
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episode...
Tardive dyskinesia (TD) is a late-onset adverse effect of dopamine receptor-blocking medications, characterized by involuntary movements primarily af...
BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (PPS) are urgently needed. Based on our recent self...
INTRODUCTION: Parkinson's Disease (PD) is a neurodegenerative disorder that affects motor and non-motor functions. Speech impairments, such as reduced...
Artificial intelligence (AI) has emerged as a transformative force in the management of movement disorders. This review explores the various applicati...
Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor dysfunction and complex gait abnormalities. Traditional linear me...
PURPOSE OF REVIEW: This review explores the use of brain age estimation from MRI scans as a biomarker of brain health. With disorders like Alzheimer's...
This paper presents a novel classifier based on the Clark distance for early detection of Parkinson's disease (PD) using voice data. The nonlinear nat...
To evaluate the diagnostic accuracy of machine learning-assisted magnetic resonance imaging (MRI) in detecting cognitive impairment among Parkinson's ...
Decreased glucose tolerance is recognized as a factor associated with Parkinson's disease (PD) progression, yet the relationship between HbA1c and PD ...
INTRODUCTION: This study leverages bibliometric analysis to uncover the research landscape and spotlight emerging trends in the field of Parkinson's d...
INTRODUCTION: Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, characterized by both motor and non-motor symptoms, i...
The molecular design of semiconducting polymers (SCPs) has been largely guided by varying monomer combinations and sequences by leveraging a robust un...
BACKGROUND: Deep brain stimulation targeting the subcallosal cingulate area (SCC-DBS) has emerged as a promising therapy for treatment-resistant depre...
Topological indices are invariant quantitative metrics associated with a molecular graph, which characterize the bonding topology of a molecule. The m...
There is strong interest in using the gut microbiome for Parkinson's disease (PD) diagnosis and treatment. However, a consensus on PD-associated micro...
The programming of clinical deep brain stimulation (DBS) systems involves numerous combinations of stimulation parameters, such as stimulus amplitude,...
Dynamic brain networks are more effective than static networks in characterizing the evolving patterns of brain functional connectivity, making them a...