Neurology

Parkinson's Disease

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

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Showing 316-336 of 5,765 articles
Efficient recognition of Parkinson's disease mice on stepping characters with CNN.

Parkinson's disease (PD), as the second most prevalent neurodegenerative disorder worldwide, impacts...

Jan 2025 39833219
PIDGN: An explainable multimodal deep learning framework for early prediction of Parkinson's disease.

BACKGROUND: Parkinson's disease (PD), the second most common neurodegenerative disease in the world,...

Jan 2025 39832626
Automated analysis of spoken language differentiates multiple system atrophy from Parkinson's disease.

BACKGROUND AND OBJECTIVES: Patients with synucleinopathies such as multiple system atrophy (MSA) and...

Jan 2025 39812820
PADS-Net: GAN-based radiomics using multi-task network of denoising and segmentation for ultrasonic diagnosis of Parkinson disease.

Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate diagnosis is cruc...

Jan 2025 39808869
Deep learning-based differential gut flora for prediction of Parkinson's.

BACKGROUND: There had been extensive research on the role of the gut microbiota in human health and ...

Jan 2025 39774383
DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI.

In this study, we developed an Evidential Ensemble Neural Network based on Deep learning and Diffusi...

Jan 2025 39787735
Real-time isolation of physiological tremor using recursive singular spectrum analysis and random vector functional link for surgical robotics.

Hand-held robotic instruments enhance precision in microsurgery by mitigating physiological tremor i...

Jan 2025 39827032
Drug repositioning for Parkinson's disease: An emphasis on artificial intelligence approaches.

Parkinson's disease (PD) is one of the most incapacitating neurodegenerative diseases (NDDs). PD is ...

Jan 2025 39755176
Machine learning for early detection and severity classification in people with Parkinson's disease.

Early detection of Parkinson's disease (PD) and accurate assessment of disease progression are criti...

Jan 2025 39747207
Selective diagnostics of Amyotrophic Lateral Sclerosis, Alzheimer's and Parkinson's Diseases with machine learning and miRNA.

The diagnosis of neurological diseases can be expensive, invasive, and inaccurate, as it is often di...

Jan 2025 39747792
Gait-based Parkinson's disease diagnosis and severity classification using force sensors and machine learning.

A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait...

Jan 2025 39747956
Identifying the NEAT1/miR-26b-5p/S100A2 axis as a regulator in Parkinson's disease based on the ferroptosis-related genes.

OBJECTIVES: Parkinson's disease (PD) is a complex neurodegenerative disease with unclear pathogenesi...

Dec 2024 39739972
A robust Parkinson's disease detection model based on time-varying synaptic efficacy function in spiking neural network.

Parkinson's disease (PD) is a neurodegenerative disease affecting millions of people around the worl...

Dec 2024 39734199
Computer model for gait assessments in Parkinson's patients using a fuzzy inference model and inertial sensors.

Patients with Parkinson's disease (PD) in the moderate and severe stages can present several walk al...

Dec 2024 39732050
Understanding Parkinson's: The microbiome and machine learning approach.

OBJECTIVE: Given that Parkinson's disease is a progressive disorder, with symptoms that worsen over ...

Dec 2024 39740526
Real-Time Freezing of Gait Prediction and Detection in Parkinson's Disease.

Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and ...

Dec 2024 39771944
A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach.

BACKGROUND: Changes in voice are a symptom of Parkinson's disease and used to assess the progression...

Dec 2024 39709867
Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.

Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are...

Dec 2024 39771887
Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation.

Closed-loop neural control is a powerful tool for both the scientific exploration of neural function...

Dec 2024 39705145
Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson's Disease Mobility Assessments.

Mobility tasks like the Timed Up and Go test (TUG), cognitive TUG (cogTUG), and walking with turns p...

Dec 2024 39771832
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