Latest AI and machine learning research in neurology for healthcare professionals.
OBJECTIVE: To examine the effectiveness of robot-assisted therapy (RAT) combined with conventional t...
flowers, associated with diverse biological effects, could be utilized as functional food ingredien...
Analysis of cardiovascular waveforms provides valuable clinical information about the state of healt...
While rehabilitation robots present a much-needed solution to improving early mobilization therapy i...
INTRODUCTION: Solitary fibrous tumors (SFTs) of the prostate are extremely rare. We report on a 60-y...
The multiple activities of neurons frequently generate several spiking-bursting variations observed ...
BACKGROUND: We compared surgeons' workload, physical discomfort, and neuromusculoskeletal disorders ...
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 ...