Parkinson's Disease

Deep Learning Using Images of the Retina for Assessment of Severity of Neurological Dysfunction in Parkinson Disease.

Review on the Artificial Intelligence-based Nanorobotics Targeted Drug Delivery System for Brain-specific Targeting.

Contemporary medical research increasingly focuses on the blood-brain barrier (BBB) to maintain home...

Current Status of Robotic Gastrointestinal Surgery.

Development of surgical support robots began in the 1980s as a navigation and auxiliary device for e...

Deep Learning Algorithm of 12-Lead Electrocardiogram for Parkinson Disease Screening.

BACKGROUND: Although idiopathic Parkinson's disease (IPD) is increasing with the aging population, t...

Towards a Closed-loop Neuro-Robotic Approach to DBS Electrode Implantation based on Real-Time Wrist Rigidity Evaluation.

The iHandU system is a wearable device that quantitatively evaluates changes in wrist rigidity durin...

End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior Disorder.

Rapid eye movement (REM) sleep behavior disorder (RBD) is parasomnia and a prodromal manifestation o...

A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns.

Parkinson is the second most common neurodegenerative disease, mainly related to progressive locomot...

Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model.

The collection of Parkinson's Disease (PD) time-series data usually results in imbalanced and incomp...

Frameless Robot-Assisted vs Frame-Based Awake Deep Brain Stimulation Surgery: An Evaluation of Technique and New Challenges.

BACKGROUND: Methodological approaches to deep brain stimulation (DBS) continue to evolve from awake ...

Optimized Deep Learning for the Classification of Parkinson's Disease Based on Voice Features.

Parkinson's disease (PD) is a neurodegenerative disorder. Hence, there is a tremendous demand for ad...

Robot-assisted gait training in patients with Parkinson's disease: Implications for clinical practice. A systematic review.

BACKGROUND: Gait impairments are common disabling symptoms of Parkinson's disease (PD). Among the ap...

Self-normalized Classification of Parkinson's Disease DaTscan Images.

Classifying SPECT images requires a preprocessing step which normalizes the images using a normaliza...

Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.

Parkinson's disease (PD) is a common neurodegenerative disease presenting with both motor and non-mo...

Robots Induce Parkinson Disease Hallucinations.

Robot-induced hallucinations in Parkinson's disease depend on altered sensorimotor processing in fronto-temporal network.

Hallucinations in Parkinson's disease (PD) are disturbing and frequent non-motor symptoms and consti...

Deep learning in systems medicine.

Systems medicine (SM) has emerged as a powerful tool for studying the human body at the systems leve...

Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual contro...

Application and assessment of deep learning for the generation of potential NMDA receptor antagonists.

Uncompetitive antagonists of the N-methyl d-aspartate receptor (NMDAR) have demonstrated therapeutic...

Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories.

BACKGROUND: The pursuit of improved accuracy for localization and electrode implantation in deep bra...

Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson's Disease?

The use of artificial intelligence (AI) to help diagnose and manage disease is of increasing interes...

Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.

Remote and objective assessment of the motor symptoms of Parkinson's disease is an area of great int...