Neurology

Parkinson's Disease

Latest AI and machine learning research in parkinson's disease for healthcare professionals.

6,137 articles
Stay Ahead - Weekly Parkinson's Disease research updates
Subscribe
Browse Specialties
Showing 85-105 of 6,137 articles
Personalized prediction of gait freezing using dynamic mode decomposition.

Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's diseas...

Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy.

BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (...

A Pilot Study Comparing Speech Characteristics in People With Parkinson's Disease and Controls Dancing Weekly Over 5-Years.

INTRODUCTION: Parkinson's Disease (PD) is a neurodegenerative disorder that affects motor and non-mo...

Gait analysis for Parkinson's disease using multiscale entropy.

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor dysfunction and...

The Role of AI in the Management of Movement Disorders.

Artificial intelligence (AI) has emerged as a transformative force in the management of movement dis...

Novel Voice Signal Segmentation Based on Clark Distance to Improve Intelligent Parkinson Disease Detection.

This paper presents a novel classifier based on the Clark distance for early detection of Parkinson'...

Diagnostic Accuracy of Machine Learning-Assisted MRI for Mild Cognitive Impairment in Parkinson's Disease: A Systematic Review and Meta-Analysis.

To evaluate the diagnostic accuracy of machine learning-assisted magnetic resonance imaging (MRI) in...

The Role of HbA1c in Parkinson's Disease: An Integrative Analysis by Single-Cell, Bulk Transcriptome and Mendelian Randomization.

Decreased glucose tolerance is recognized as a factor associated with Parkinson's disease (PD) progr...

Recent advances (2022-2024) in eye-tracking for Parkinson's disease: a promising tool for diagnosing and monitoring symptoms.

INTRODUCTION: Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, cha...

Exploring the landscape of Parkinson's disease transcriptomics: a quantitative review of research progress and future directions.

INTRODUCTION: This study leverages bibliometric analysis to uncover the research landscape and spotl...

FDG-PET as a pre-operative biomarker for predicting and optimizing response to subcallosal cingulate area deep brain stimulation.

BACKGROUND: Deep brain stimulation targeting the subcallosal cingulate area (SCC-DBS) has emerged as...

Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson's disease.

There is strong interest in using the gut microbiome for Parkinson's disease (PD) diagnosis and trea...

Enhancing Neurodegenerative Disease Diagnosis Through Confidence-Driven Dynamic Spatio-Temporal Convolutional Network.

Dynamic brain networks are more effective than static networks in characterizing the evolving patter...

Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation.

The programming of clinical deep brain stimulation (DBS) systems involves numerous combinations of s...

Tailored pharmacotherapy monitoring in Parkinson's disease and Schizophrenia using a rapid and sensitive α-Synuclein assay.

BACKGROUND: While Parkinson's disease is a low dopamine neurodegenerative disorder, Schizophrenia is...

Biocatalytic production of a monoamine oxidase B/catechol-O-methyltransferase inhibitor from piperine by engineered P450 BM3.

The single-step biotransformation of the natural compound piperine into a known dual inhibitor of mo...

Deep Learning-Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map-Weighted MRI.

BACKGROUND AND PURPOSE: The diagnostic performance of deep learning model that simultaneously detect...

A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI.

Parkinson's disease ranks as the second most prevalent neurological disorder after Alzheimer's disea...

Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...

Browse Specialties