Neurology

Parkinson's Disease

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

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Showing 1051-1071 of 5,766 articles
Completeness and Quality of Neurology Referral Letters Generated by a Large Language Model for Standardized Scenarios

Large Language Models (LLMs) offer promising applications in healthcare, including drafting referral...

Deep Learning for Freezing of Gait Assessment using Inertial Measurement Units: A Multicentre Study

Video annotation is the gold-standard method to assess Freezing of Gait (FOG) in Parkinsonian disord...

Patient-Specific and Interpretable Deep Brain Stimulation Optimisation Using MRI and Clinical Review Data

Optimisation of Deep Brain Stimulation (DBS) settings is a key aspect in achieving clinical efficacy...

Deep Learning Prediction of Parkinson’s Disease using Remotely Collected Structured Mouse Trace Data

Parkinson’s Disease (PD) is the second most common neurodegenerative disorder globally, and current ...

Automated Detection of Speech Disorders in Parkinson’s Disease using Deep Convolutional Neural Networks: A Pilot Study

Patients with Parkinson’s disease (PD) frequently exhibit deficits in functional communication due t...

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...

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known...

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...

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