Neurology

Parkinson's Disease

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

6,138 articles
Stay Ahead - Weekly Parkinson's Disease research updates
Subscribe
Browse Specialties
Showing 421-441 of 6,138 articles
On the Role of Arkypallidal and Prototypical Neurons for Phase Transitions in the External Pallidum.

The external pallidum (globus pallidus pars externa [GPe]) plays a central role for basal ganglia fu...

Robotic resection for hydatid disease of the liver.

Robotic-assisted surgery for the management of hepatic echinococcosis was introduced in 2016. The ad...

A Human-Inspired Soft Finger with Dual-Mode Morphing Enabled by Variable Stiffness Mechanism.

Elevating stiffness without compromising compliance and agility is a key problem for soft finger app...

A robotized handheld smart tool for orthopedic surgery.

BACKGROUND: Handheld surgical robots offer functionalities, such as active guidance, tremor suppress...

Cortical Thickness from MRI to Predict Conversion from Mild Cognitive Impairment to Dementia in Parkinson Disease: A Machine Learning-based Model.

Background Group comparison results associating cortical thinning and Parkinson disease (PD) dementi...

Predicting optimal deep brain stimulation parameters for Parkinson's disease using functional MRI and machine learning.

Commonly used for Parkinson's disease (PD), deep brain stimulation (DBS) produces marked clinical be...

Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.

BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The as...

Artificial intelligence extension of the OSCAR-IB criteria.

Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automa...

The in vitro micronucleus assay using imaging flow cytometry and deep learning.

The in vitro micronucleus (MN) assay is a well-established assay for quantification of DNA damage, a...

Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.

In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exp...

Hybrid dilation and attention residual U-Net for medical image segmentation.

Medical image segmentation is a typical task in medical image processing and critical foundation in ...

Computational medication regimen for Parkinson's disease using reinforcement learning.

Our objective is to derive a sequential decision-making rule on the combination of medications to mi...

Edge deep learning for neural implants: a case study of seizure detection and prediction.

Implanted devices providing real-time neural activity classification and control are increasingly us...

Robotic colorectal surgery and ergonomics.

Improved ergonomics for the operating surgeon may be an advantage of robotic colorectal surgery. Per...

Getting into a "Flow" state: a systematic review of flow experience in neurological diseases.

BACKGROUND: Flow is a subjective psychological state that people report when they are fully involved...

Somatosensitive film soft crawling robots driven by artificial muscle for load carrying and multi-terrain locomotion.

Somatosensitive soft crawling robotics is highly desired for load carrying and multi-terrain locomot...

Accessory pathway analysis using a multimodal deep learning model.

Cardiac accessory pathways (APs) in Wolff-Parkinson-White (WPW) syndrome are conventionally diagnose...

Effects of robot-assisted gait training on postural instability in Parkinson's disease: a systematic review.

INTRODUCTION: Postural instability is a cardinal feature of Parkinson's disease, together with rest ...

A Review of Robotic and OCT-Aided Systems for Vitreoretinal Surgery.

The introduction of the intraocular vitrectomy instrument by Machemer et al. has led to remarkable a...

Ensemble deep model for continuous estimation of Unified Parkinson's Disease Rating Scale III.

BACKGROUND: Unified Parkinson Disease Rating Scale-part III (UPDRS III) is part of the standard clin...

Discovery of novel dual adenosine A1/A2A receptor antagonists using deep learning, pharmacophore modeling and molecular docking.

Adenosine receptors (ARs) have been demonstrated to be potential therapeutic targets against Parkins...

Browse Specialties