Neurology

Parkinson's Disease

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

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Showing 211-231 of 5,611 articles
Effects of a Soft Robotic Exoskeleton for Gait Training on Clinical Outcomes in Patients With Parkinson Disease: Randomized Controlled Pilot Study.

BACKGROUND: Balance and gait disorders in Parkinson disease (PD) impair motor function and quality o...

Apr 2026 42048524
A Qualitative Exploration of Ethical Aspects of Using AI in Parkinson Disease: Patient Panel Study.

BACKGROUND: As Parkinson disease (PD) rates increase, so does interest in finding new technological ...

Apr 2026 42048575
Unveiling the causal pathway of Parkinson's disease dysphonia: A voice causal generative model (VCGM) approach.

BACKGROUND: Although artificial intelligence (AI) models have demonstrated high accuracy in diagnosi...

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Apr 2026 42068719
Cognitive trajectories in early Parkinson's disease: A multimodal MRI study of brain structure and cognitive decline.

Cognitive trajectories in Parkinson's disease (PD) exhibit substantial heterogeneity, ranging from l...

Apr 2026 42055256
Essence: A benchmarking-validated transformer framework for early diagnosis of Parkinson's disease using cerebrospinal fluid protein biomarkers.

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-...

Apr 2026 42055361
Frequency-based deep learning to identify subtle postural instability in early, untreated Parkinson's disease.

Despite evidence of early neurodegeneration, postural instability is commonly associated with later ...

Apr 2026 42045279
Rule-Based Synthesis of Microscopy Images by Diffusion Refinement.

Deep learning methods in medical imaging often suffer from the limited availability of high-quality ...

Apr 2026 42045765
Functional cortical network alterations in Parkinson's disease with wearing-off revealed by resting-state fNIRS and graph theory.

Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re...

Apr 2026 42031095
AI-based mouse behavior analysis in pathology: A focus on movement disorders.

Quantifying behavior in animal models is essential for understanding neurological disorders, yet tra...

Apr 2026 42031087
Engineering brain-penetrant PROTACs: Bridging molecular design and CNS delivery.

The drug development for central nervous system (CNS) disorders, particularly neurodegenerative dise...

Apr 2026 42031360
From Bio-Interface Materials to Neural Integration: The Next-Generation Brain-Machine Interfaces Powered by Hydrogels.

Brain-machine interfaces (BMIs), which serve as revolutionary tools for neural recording, modulation...

Apr 2026 42021568
Machine learning model based on plasma proteomics for the identification of Parkinson's disease.

Developing reliable biomarkers capable of differentiating Parkinson's disease from other neurologica...

Apr 2026 42015416
LadderGen: a large-scale generative library of ladder polymers for membrane separations.

Ladder polymers possess exceptional rigidity, microporosity, and thermal stability, yet their explor...

Apr 2026 42017209
Hierarchical Coarse-to-Fine cGAN for Subtype-Specific Freezing of Gait Signal Generation.

Freezing of gait (FOG), a debilitating symptom of Parkinson's disease, can manifest in three sub-typ...

Apr 2026 42009321
Neuromodulation-induced normalization of cortical metastable dynamics signatures in Parkinson's disease.

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) alleviates motor symptoms in Parkinson...

Apr 2026 42009672
Use of Machine Learning to Identify Markers of Risk for Fragile X-Associated Tremor/Ataxia Syndrome: A Preliminary Analysis.

OBJECTIVE: The objective of this study was to examine whether machine learning has the capacity to p...

Apr 2026 41999052
Multi-neurotransmitter synergistically regulated basal ganglia reinforcement learning model.

As a core brain region for motor control and cognitive decision-making, the basal ganglia relies on ...

Apr 2026 42019211
ML-Based Multidomain Speech Biomarkers for Multiclass Parkinson's Severity: An Indian Corpus and Clinically Calibrated Labels.

OBJECTIVE: Speech provides a lightweight window into articulatory and phonatory impairment in Parkin...

Apr 2026 41986191
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