Latest AI and machine learning research in neurology for healthcare professionals.
In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM...
In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemann...
The risk of adverse effects in Electroconvulsive Therapy (ECT), such as cognitive impairment, can be...
Research suggests that dreams play a role in the regulation of emotional processing and memory conso...
BACKGROUND: Spinal cord injury (SCI) is a severe condition affecting the central nervous system. It ...
Alzheimer's disease (AD) is a type of brain disorder that is becoming more prevalent worldwide. It i...
OBJECTIVE: To construct and select a better model based on ultrasonic-based radiomics features and c...
Cortical parcellation delineates the cerebral cortex into distinct regions according to their distin...
BACKGROUND AND OBJECTIVE: Deep learning models have gained widespread adoption in healthcare for acc...
OBJECTIVES: Alzheimer's disease (AD) poses a significant challenge for individuals aged 65 and older...
This study tackles creating Python code for beginners with generative AI and analyzing trends in men...
This paper aims to comprehensively review patient performance assessment (PPA) methods used in assis...
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging eviden...
BACKGROUND AND OBJECTIVE: Patients with spinal cord injury (SCI), are prone to pressure injury (PI) ...
Understanding cognitive workload improves learning performance and provides insights into human cogn...
BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait...
The relevance of the study is due to the growing number of diseases of the cerebrovascular system, i...
. Among all BCI paradigms, motion imagery (MI) has gained favor among researchers because it allows ...
Key challenges in upper limb prosthetics include a lack of effective control systems, the often inva...
BACKGROUND: Mild cognitive impairment (MCI) and preclinical MCI (e.g., subjective cognitive decline,...
Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines fa...