Latest AI and machine learning research in neurology for healthcare professionals.
Depressive disorder (DD) has become one of the most common mental diseases, seriously endangering bo...
Previous studies revealed that hormone replacement therapy (HRT) probably has a protective effect fo...
Conventional cognitive assessment is widely used in clinical and research settings, in educational i...
The aim of this study was to develop machine learning classification models using electroencephalogr...
In this paper, we propose an event-triggered collaborative neurodynamic approach to distributed glob...
Ophthalmic biomarkers have long played a critical role in diagnosing and managing ocular diseases. O...
Spinal fixation with rigid pedicle screws have shown to be an effective treatment for many patients....
OBJECTIVE: To evaluate quality of life (QOL) after non-nerve-sparing, robot-assisted radical prostat...
Traumatic brain injury is one of the leading causes of death and disability in young adults. Previou...
After only 2 weeks of training with an exoskeleton suit, post-stroke individuals improved their knee...
Current lower-limb prostheses do not provide active assistance in postural control tasks to maintain...
Recent advancements in machine learning and deep learning (DL) based neural decoders have significan...
PURPOSE: The aim of this study is to develop a deep neural network to diagnosis Alzheimer's disease ...
A high cognitive load can overload a person, potentially resulting in catastrophic accidents. It is ...
BACKGROUND: Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracere...
BACKGROUND: Previous cross-sectional studies have shown that Parkinson's disease (PD) patients have ...
In this paper, we propose a two-timescale projection neural network (PNN) for solving optimization p...
OBJECTIVE: Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high...
This article focuses on the development of algorithms for a smart neurorehabilitation system, whose ...
The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by...
Human-robot interaction is a rapidly developing field and robots have been taking more active roles ...