Neurology

Parkinson's Disease

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

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Showing 295-315 of 5,765 articles
The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis.

BACKGROUND: Parkinson disease (PD) is a common neurodegenerative disease characterized by both motor...

Mar 2025 40153789
Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks.

Parkinson's disease is a neurodegenerative disorder that is associated with aging, leading to the pr...

Mar 2025 40075106
The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications.

The last decade has witnessed a notable surge in deep learning applications for electroencephalograp...

Mar 2025 40031716
Item Response Modeling and Artificial Neural Network for Differentiation of Parkinson's Patients and Subjects Without Evidence of Dopaminergic Deficit.

Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active t...

Mar 2025 40045658
Deep learning models for improving Parkinson's disease management regarding disease stage, motor disability and quality of life.

BACKGROUND AND OBJECTIVE: Motor diagnosis, monitoring and management of Parkinson's disease (PD) foc...

Mar 2025 40037167
Deep Learning-Based Diagnostic Model for Parkinson's Disease Using Handwritten Spiral and Wave Images.

OBJECTIVE: To develop and validate a deep neural network (DNN) model for diagnosing Parkinson's Dise...

Mar 2025 40029495
Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.

Machine learning approaches including deep learning models have shown promising performance in the a...

Mar 2025 40025201
Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes.

Both brain functional connectivity (FC) and structural connectivity (SC) provide distinct neural mec...

Feb 2025 40020422
Comprehensive clinical scale-based machine learning model for predicting subthalamic nucleus deep brain stimulation outcomes in Parkinson's disease.

Parkinson's Disease (PD) is a growing burden with varied clinical manifestations and responses to Su...

Feb 2025 39994077
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis.

Neurological disorders are a major global health concern that have a substantial impact on death rat...

Feb 2025 39992458
Parkinson's disease tremor prediction towards real-time suppression: A self-attention deep temporal convolutional network approach.

Accurate prediction of Parkinson's disease tremor (PDT) is crucial for developing assistive technolo...

Feb 2025 39978094
Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effecti...

Feb 2025 39962871
Sway frequencies may predict postural instability in Parkinson's disease: a novel convolutional neural network approach.

BACKGROUND: Postural instability greatly reduces quality of life in people with Parkinson's disease ...

Feb 2025 39966853
Efficient Neural Network Classification of Parkinson's Disease and Schizophrenia Using Resting-State EEG Data.

Timely identification of Parkinson's disease and schizophrenia is crucial for the effective manageme...

Feb 2025 39961960
Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.

BackgroundClinical assessments of motor symptoms rely on observations and subjective judgments again...

Feb 2025 39973505
Review on computational methods for the detection and classification of Parkinson's Disease.

BACKGROUND AND OBJECTIVE: The worldwide estimates reveal two-fold increase in incidence of Parkinson...

Feb 2025 39938340
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.

The human brain is a highly complex neurological system that has been the subject of continuous expl...

Feb 2025 38356216
Multi-source sparse broad transfer learning for parkinson's disease diagnosis via speech.

Diagnosing Parkinson's disease (PD) via speech is crucial for its non-invasive and convenient data c...

Feb 2025 39903317
Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.

INTRODUCTION: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a wel...

Feb 2025 39933317
Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks (part II).

Neural networks (NNs) possess the capability to learn complex data relationships, recognize inherent...

Jan 2025 39893881
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