Latest AI and machine learning research in neurology for healthcare professionals.
RATIONALE AND OBJECTIVES: To identify CT features for distinguishing grade 1 (G1)/grade 2 (G2) from ...
Recent advancements in generative artificial intelligence, particularly using large language models ...
Within the broader context of improving interactions between artificial intelligence and humans, the...
BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factor...
Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) build a communication path between...
Recently, the early diagnosis of Alzheimer's disease has gained major attention due to the growing p...
Major depressive disorder (MDD) is a prevalent psychiatric disorder globally. There are many assays ...
BACKGROUND: Robotic hand orthoses (RHO) aim to provide grasp assistance for people with sensorimotor...
Key unmet needs in multiple sclerosis (MS) include detection of early pathology, disability worsenin...
Neuroinflammation induced by engulfment of synapses by phagocytic microglia plays a crucial role in ...
Biohybrid robots have been developed for biomedical applications and industrial robotics. However, t...
Recently, electroencephalogram (EEG) emotion recognition has gradually attracted a lot of attention....
Mental stress is an increasingly common psychological issue leading to diseases such as depression, ...
The study of mouse social behaviors has been increasingly undertaken in neuroscience research. Howev...
Despite longstanding traditional construction health and safety management (CHSM) methods, the const...
The human factor plays a key role in the automotive field since most accidents are due to drivers' u...
BACKGROUND: Vertical displacement of the residual limb within transtibial prosthetic socket, often k...
The development of virtual care options, including virtual hospital platforms, is rapidly changing t...
Patients with neurological disorders, such as amyotrophic lateral sclerosis, Parkinson's disease, an...
In this study, we aim to develop a machine learning model to predict the level of coordination betwe...
In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We pr...