Latest AI and machine learning research in neurology for healthcare professionals.
Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term functional disab...
This study developed an automated language learning teaching assessment system based on electroencep...
The perception and recognition of objects around us empower environmental interaction. Harnessing th...
OBJECTIVES: Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14...
Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability o...
Recently, motor imagery (MI) electroencephalography (EEG) classification techniques using deep learn...
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is incr...
Clinical studies have proved significant improvements in hand motor function in stroke patients when...
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus...
Timely and precise identification of acute ischemic stroke (AIS) within 4.5Â h is imperative for effe...
BACKGROUND: A recent neurodevelopmental rat model, utilizing lactational exposure to polyriboinosini...
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications i...
Timely detecting epileptic seizures can significantly reduce accidental injuries of epilepsy patient...
Quantifying individualized rehabilitation responses and optimizing therapy for each person is challe...
PURPOSE: To examine the impact of deep learning-augmented contrast enhancement on image quality and ...
As an early indicator of dementia, mild cognitive impairment (MCI) requires specialized treatment ac...
Cerebrovascular image segmentation is one of the crucial tasks in the field of biomedical image proc...
BACKGROUND: Sensor-based remote health monitoring is increasingly used to detect adverse health in p...
BACKGROUND: Multicenter electronic health records can support quality improvement and comparative ef...
OBJECTIVE: To remove signal contamination in electroencephalogram (EEG) traces coming from ocular, m...
Spinal cord injury (SCI) often leads to central neuropathic pain, a condition associated with signif...