Latest AI and machine learning research in neurology for healthcare professionals.
The idea of this Special Issue arose from the technological advances in bionic, robotic, and neural ...
BACKGROUND: Robots can generate rich kinematic datasets that have the potential to provide far more ...
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of rob...
OBJECTIVES: To investigate whether early gait training using Hybrid Assistive Limb (HAL) is feasible...
Researchers have been working to magnify mental workload (MWL) modeling for a long time. An importan...
OBJECTIVE: Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurologic...
OBJECTIVE: High-resolution ultrasound is an emerging tool for diagnosing carpal tunnel syndrome caus...
Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as hea...
BACKGROUND: Few, if any estimates of cost-effectiveness for locomotor training strategies following ...
INTRODUCTION: Neuroinflammation evaluation after acute ischemic stroke is a promising option for sel...
STUDY DESIGN: This was a retrospective study.
In this paper, a subgradient-based neurodynamic algorithm is presented to solve the nonsmooth noncon...
Patient-reported outcome measures (PROMs) assign objective measures to patient's subjective experien...
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain microstructure a...
Pleasant touching is an important aspect of social interactions that is widely used as a caregiving ...
Emotion recognition based on brain signals has increasingly become attractive to evaluate human's in...
INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia d...
OBJECTIVE: To develop, train, and test a convolutional neural network (CNN) for detection of spinal ...
Robot-assisted rehabilitation training is an effective way to assist rehabilitation therapy. So far,...
High-density electromyography (HD-EMG) decomposition algorithms are used to identify individual moto...
Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with on...