Parkinson's Disease - AI Medical Affairs

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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1093-1113 of 5,766 articles

Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson's Diagnosis

Recent works in pathological speech analysis have increasingly relied on powerful self-supervised ...

Dec 2024 http://arxiv.org/abs/2412.02006v2

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos

Accurate diagnosis of gait impairments is often hindered by subjective or costly assessment method...

Dec 2024 http://arxiv.org/abs/2412.01056v1

A quantum inspired predictor of Parkinsons disease built on a diverse, multimodal dataset

Parkinsons disease, the fastest growing neurodegenerative disorder globally, has seen a 50 percent...

Nov 2024 http://arxiv.org/abs/2411.18640v1

m6A-related genes and their role in Parkinson's disease: Insights from machine learning and consensus clustering.

Parkinson disease (PD) is a chronic neurological disorder primarily characterized by a deficiency of...

Nov 2024 39533574

Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking

Nanorobots are a promising development in targeted drug delivery and the treatment of neurological...

Nov 2024 http://arxiv.org/abs/2411.02345v1

Comparing machine learning and deep learning models to predict cognition progression in Parkinson's disease.

Cognitive decline in Parkinson's disease (PD) varies widely. While models to predict cognitive progr...

Nov 2024 39513668

Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction

Parkinson's disease (PD), a degenerative disorder of the central nervous system, is commonly diagn...

Oct 2024 http://arxiv.org/abs/2410.23649v2

Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease

Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the centr...

Oct 2024 http://arxiv.org/abs/2410.23429v1

EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task

Neural biomarkers that can classify or predict disease are of broad interest to the neurological a...

Oct 2024 http://arxiv.org/abs/2410.06534v1

GAMMA-PD: Graph-based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease

The rapid advancement of medical technology has led to an exponential increase in multi-modal medi...

Oct 2024 http://arxiv.org/abs/2410.00944v1

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning

Recently, multimodal electroencephalogram (EEG) learning has shown great promise in disease detect...

Sep 2024 http://arxiv.org/abs/2409.13440v1

Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning

Cycling has gained global popularity for its health benefits and positive urban impacts. To effect...

Sep 2024 http://arxiv.org/abs/2409.03148v2

A deep learning-guided automated workflow in LipidOz for detailed characterization of fungal fatty acid unsaturation by ozonolysis.

Understanding fungal lipid biology and metabolism is critical for antifungal target discovery as lip...

Sep 2024 39132905

Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network.

PURPOSE: Changes in retinal structure and microvasculature are connected to parallel changes in the ...

Aug 2024 39136960

Innovative Speech-Based Deep Learning Approaches for Parkinson's Disease Classification: A Systematic Review

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

Jul 2024 http://arxiv.org/abs/2407.17844v4

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation

Parkinson's Disease afflicts millions of individuals globally. Emerging as a promising brain rehab...

Jul 2024 http://arxiv.org/abs/2407.17756v1

2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks

Parkinson's Disease (PD) diagnosis remains challenging. This study applies Convolutional Kolmogoro...

Jul 2024 http://arxiv.org/abs/2407.17380v2

Early Recognition of Parkinson's Disease Through Acoustic Analysis and Machine Learning

Parkinson's Disease (PD) is a progressive neurodegenerative disorder that significantly impacts bo...

Jul 2024 http://arxiv.org/abs/2407.16091v1

A discontinuous Galerkin method for the three-dimensional heterodimer model with application to prion-like proteins' dynamics

Neurocognitive disorders, such as Alzheimer's and Parkinson's, have a wide social impact. These pr...

Jul 2024 http://arxiv.org/abs/2407.16065v1

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation

Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function a...

Jul 2024 http://arxiv.org/abs/2408.00777v3

Enhancing Model Generalizability In Parkinson's Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments.

Machine learning in Parkinson's disease assessment uses data from clinically-coded movements, such a...

Jul 2024 40039364