Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Depression is a common complication after a stroke that may lead to increased disability...
BACKGROUND: Ischemic stroke (IS) is one of the most common causes of disability in adults worldwide....
This manuscript examines the expanding role of population health strategies in neurology, emphasizin...
BACKGROUND AND OBJECTIVE: Diagnosis of rare neuromuscular diseases often relies on muscle biopsy ana...
BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marke...
BACKGROUND: Robotic rehabilitation, which provides a high-intensity, high-frequency therapy to impro...
The advent of large language models has transformed human-robot interaction by enabling robots to ex...
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is c...
This study addresses the challenges of Programming by Demonstration (PbD) in the context of collabor...
Neurodegenerative diseases (NDs), characterized by progressive neuronal degeneration and manifesting...
Skin electronics face challenges related to the interface between rigid and soft materials, resultin...
This study introduces a thoughtfully curated dataset comprising electroencephalogram (EEG) recording...
OBJECTIVE: Dementia represents a growing public health challenge, affecting an increasing number of ...
Macrovascular complications, including stroke, cardiovascular disease (CVD), and peripheral vascular...
Stroke is a leading cause of death and disability in developed countries. We validated an AI-based p...
OBJECTIVE: The purpose of the current study is to explore the value of a nomogram that integrates cl...
In the field of clinical neurology, automated detection of epileptic seizures based on electroenceph...
Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and i...
BACKGROUND: Sarcopenia (loss of muscle mass and strength) increases adverse outcomes risk and contri...
This study aims to develop optimal predictive models for perioperative neurocognitive disorders (PND...
Freely moving thought is a type of thinking that shifts from one topic to another without any overar...