Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Accurate prediction of side-specific extraprostatic extension (ssEPE) is essential for p...
OBJECTIVE: Pudendal Nerve Entrapment (PNE) may determine chronic pelvic pain associated with symptom...
Markerless motion capture methods are continuously in development to target limitations encountered ...
The positron emission tomography (PET) with F-flortaucipir can distinguish individuals with mild cog...
Detecting the early signs of stroke using non-contrast computerized tomography (NCCT) is essential f...
Automated vertebrae detection (identification and localization) aims to identify vertebrae and locat...
BACKGROUND: Stroke survivors often experience balance and gait problems, which can affect their qual...
BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi is crucial in se...
Artificial skin that simultaneously mimics sensory feedback and mechanical properties of natural ski...
Peripheral nerve tension is known to be related to the pathophysiology of neuropathy; however, asses...
BACKGROUND: Radiomics is the process of converting radiological images into high-dimensional data th...
Development and implementation of neuroprosthetic hands is a multidisciplinary field at the interfac...
PURPOSE: To investigate the safety and feasibility of spider silk interposition for erectile nerve r...
Hand gesture recognition (HGR) based on electromyography signals (EMGs) and inertial measurement uni...
OBJECTIVE: The study aims to evaluate the diagnostic performance of deep learning-based reconstructi...
As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...
Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. Thi...
OBJECTIVE: Invasive video-electroencephalography (iVEEG) is the gold standard for evaluation of refr...
Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when ev...
OBJECTIVES: To develop and validate an automatic classification algorithm for diagnosing Alzheimer's...
Inhibitory control processes are an important aspect of executive functions and goal-directed behavi...