Neurology

Parkinson's Disease

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

6,143 articles
Stay Ahead - Weekly Parkinson's Disease research updates
Subscribe
Browse Specialties
Showing 505-525 of 6,143 articles
A Comparative Study of the Diagnostic Potential of Plasma and Erythrocytic α-Synuclein in Parkinson's Disease.

BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disease characterized by intracellular α...

Robot technology identifies a Parkinsonian therapeutics repurpose to target stem cells of glioblastoma.

Glioblastoma is a heterogeneous lethal disease, regulated by a stem-cell hierarchy and the neurotra...

Robot-based assistance in middle ear surgery and cochlear implantation: first clinical report.

PURPOSE: Middle ear surgery may benefit from robot-based assistance to hold micro-instruments or an ...

A data-driven approach for detecting gait events during turning in people with Parkinson's disease and freezing of gait.

BACKGROUND: Manual annotation of initial contact (IC) and end contact (EC) is a time consuming proce...

Evidence that the Kennedy and polyamine pathways are dysregulated in human brain in cases of dementia with Lewy bodies.

Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus fa...

Mixed-reality assistive robotic power chair simulator for Parkinson's tremor testing.

This note describes the development of a mixed-reality assistive robotic wheel chair simulator for t...

Identifying drugs with disease-modifying potential in Parkinson's disease using artificial intelligence and pharmacoepidemiology.

PURPOSE: The aim of the study was to assess the feasibility of an approach combining computational m...

Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.

BACKGROUND: Parkinson's disease is one of the most frequent causes of disability among the older adu...

Machine learning-assisted neurotoxicity prediction in human midbrain organoids.

INTRODUCTION: Brain organoids are highly complex multi-cellular tissue proxies, which have recently ...

Robotic Approach to Outpatient Inguinal Hernia Repair.

BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor ...

Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.

This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adve...

Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.

Mild cognitive impairment (MCI) may be caused by Alzheimer's disease, Parkinson's disease (PD), cere...

Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) ranks as the second most frequently occurring neurodegenerative...

High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks.

Patients with advanced Parkinson's disease regularly experience unstable motor states. Objective and...

Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

BACKGROUND: Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and vo...

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition.

We show that machine learning can pinpoint features distinguishing inactive from active states in pr...

Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring t...

An Underwater Robotic Manipulator with Soft Bladders and Compact Depth-Independent Actuation.

An underwater manipulator is essential for underwater robotic sampling and other service operations....

Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning.

BACKGROUND: Progressive supranuclear palsy (PSP), a neurodegenerative conditions may be difficult to...

Browse Specialties