Neurology

Parkinson's Disease

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

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Showing 988-1008 of 5,766 articles
Enhanced LSTM by Attention Mechanism for Early Detection of Parkinson's Disease through Voice Signals

Parkinson's disease (PD) is a neurodegenerative condition characterized by notable motor and non-m...

Mixed Integer Linear Programming for Active Contact Selection in Deep Brain Stimulation

Deep brain stimulation (DBS) programming remains a complex and time-consuming process, requiring m...

SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis

In this paper, an explainable deep learning-based classifier based on adaptive sinc filters for Pa...

Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction

Although learning-based models hold great promise for MRI reconstruction, single-site models built...

Identification of Depression Subtypes in Parkinson's Disease Patients via Structural MRI Whole-Brain Radiomics: An Unsupervised Machine Learning Study.

OBJECTIVE: Current clinical evaluation may tend to lack precision in detecting depression in Parkins...

Feb 2025 39915918
Analysis of Two Neuroanatomical Subtypes of Parkinson's Disease and Their Motor Progression Based on Semi-Supervised Machine Learning.

BACKGROUND: The high heterogeneity of Parkinson's disease (PD) hinders personalized interventions. B...

Feb 2025 39953811
Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data

Parkinson's disease (PD) is a neurological disorder requiring early and accurate diagnosis for eff...

IRONMAP: Iron Network Mapping and Analysis Protocol for Detecting Over-Time Brain Iron Abnormalities in Neurological Disease

Pathologically altered iron levels, detected using iron-sensitive MRI techniques such as quantitat...

Distinguishing Parkinson's Patients Using Voice-Based Feature Extraction and Classification

Parkinson's disease (PD) is a progressive neurodegenerative disorder that impacts motor functions ...

EVolutionary Independent DEtermiNistiC Explanation

The widespread use of artificial intelligence deep neural networks in fields such as medicine and ...

Identification of CXCR4 inhibitory activity in natural compounds using cheminformatics-guided machine learning algorithms.

Neurodegenerative disorders are characterised by progressive damage to neurons that leads to cogniti...

Jan 2025 39985292
Towards a Generalizable Speech Marker for Parkinson's Disease Diagnosis

Parkinson's Disease (PD) is a neurodegenerative disorder characterized by motor symptoms, includin...

A Self-supervised Diffusion Bridge for MRI Reconstruction

Diffusion bridges (DBs) are a class of diffusion models that enable faster sampling by interpolati...

Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection

Parkinson's disease (PD), the second most common neurodegenerative disorder, is characterized by d...

Matrix effects influence biochemical signatures and metabolite quantification in dried blood spots

Dried blood spots (DBS) represent a convenient clinical sample material, offering low infection risk...

Non-invasive Ultrasonic Neuromodulation of the Human Nucleus Accumbens Impacts Reward Sensitivity

Precisely neuromodulating deep brain regions could bring transformative advancements in both neurosc...

Structure-based Generation of a Secondary Nucleation Inhibitor in α-Synuclein Aggregation Using a Conditional Diffusion Model

The process of α-synuclein aggregation results in the formation of amyloid fibrils, which accumulate...

The olfactory bulb reflects structural plasticity within a genetically stable olfactory network

The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in ...

Deep neurobehavioral phenotyping uncovers neural fingerprints of locomotor deficits in Parkinson’s disease

Gait deficits present an unresolved therapeutic challenge in Parkinson’s Disease. At the behavioral ...

Hand Drawing Image based Causal Representation Learning for Robust Parkinson’s Disease Feature Extraction and Detection

Being an irreversible disorder regarding the human motor-system, Parkinson’s Disease(PD) has been a ...

Next generation neural mass model with dopamine modulation mediated by D1-type receptors

Neuromodulation is a complex process in which chemical substances modulate brain activity, allowing ...

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