Neurology

Parkinson's Disease

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

5,624 articles
Stay Ahead - Weekly Parkinson's Disease research updates
Subscribe
Browse Categories
Showing 1261-1281 of 5,624 articles
Personalized, closed-loop deep brain stimulation for chronic pain

Chronic pain is a major healthcare problem associated with maladaptive brain circuit changes - many ...

Early Subtypes and Progressions of Progressive Supranuclear Palsy: A Data-Driven Brain Bank Study

Progressive supranuclear palsy (PSP) is typically characterized by vertical supranuclear gaze palsy ...

Building an AI-Powered Educational Tool for Exploring Microbial Relationships in Parkinson’s Disease

This paper presents the Neurobiome Navigator, an AI-powered, highly interactive, and easily navigabl...

Statistical, Multi-scale and Attention-based Layer Pooling of Wav2Vec-2 Speech Embeddings for Parkinson’s Disease Detection

Self-supervised pre-trained speech models such as wav2vec 2.0 provide rich frame-level embeddings th...

Plasma Proteomics for Parkinson’s Disease: Diagnostic Classification, Severity Association, and Therapeutic Hypotheses

Parkinson’s disease lacks reliable early diagnostics and disease-modifying treatments. Blood-based b...

Measuring Reliability in Locally-deployed Language Model Dysarthric Speech Assessments

Speech is a rich and non-invasive source of clinical information, potentially providing digital biom...

N2G calibrator: a cross-subject domain adversarial training framework for gait tracking from neural signals in Parkinson’s disease

Adaptive deep brain stimulation has enabled machine learning models to track motor states from neura...

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease

Dementia in Lewy body diseases (LBD) is common and arises through heterogeneous and incompletely und...

Sex adaptive deep recurrent neural networks for Parkinson’s disease detection using 5-second vertical ground reaction force signals

This study introduces an innovative sex-stratified methodology for the identification of Parkinson’s...

On Estimating Age and Gender from Parkinson’s Disease Diagnostic-Oriented Recordings Using Wav2Vec 2.0

Can self-supervised speech foundation models (SFMs) be used for automatic patient metadata extractio...

Using Explainable AI to Identify Disease-Relevant and Deep Brain Stimulation Treatment-Sensitive Gait Features in Parkinson’s Disease

Gait impairment is a characteristic motor deficit of Parkinson’s disease (PD) and a critical but ins...

Personalized Prediction of Regional Brain Atrophy in Parkinson’s Disease through Longitudinal AI Modeling

Parkinson’s disease (PD) involves variable patterns of brain atrophy in different motor and cognitiv...

Brain natural frequencies as physiologically meaningful biomarkers for machine-learning detection of Parkinson’s disease

In this study, we investigated whether individual brain maps of natural frequencies derived from EEG...

Personalized Data-Driven Robust Machine Learning Models to Differentiate Parkinson’s Disease Patients Using Heterogeneous Risk Factors

Parkinson’s Disease (PD) is the most prevalent neurodegenerative disorder after Alzheimer’s, yet its...

Browse Categories