Latest AI and machine learning research in neurology for healthcare professionals.
Variable-length time series classification (VTSC) problems are prevalent in healthcare applications, such as heart rate monitoring and electrophysiological recordings, where sequence length varies among patients and events. VTSC is challenging as finite-context models such as Transformers require padding, truncation, or interpolation, leading to distortion in the input data, higher computational c...
BACKGROUND: Artificial intelligence (AI) is increasingly explored in veterinary neurology for pattern recognition, prediction and clinical decision support, with relevance to comparative and translational neuroscience. OBJECTIVES: This review examines AI applications in veterinary neurology, compares them with human neurology and evaluates cross-species technology transfer within a One Health fram...
In the 21st century, neuroglial research has entered a period of Renaissance, extending the views of prominent neuroanatomists and neurologists of the...
Neuropsychiatric symptoms (NPS) are the most clinically consequential manifestations of dementia, yet they are frequently underestimated as secondary ...
The increase in life expectancy over the past century has been accompanied by the recognition of age as the primary risk factor for a wide range of pa...
OBJECTIVE: White matter (WM), as the critical infrastructure for neural communication, is implicated in pediatric bipolar disorder (PBD) pathophysiolo...
INTRODUCTION: Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for late-onset Alzheimer's disease (AD), but its contribution to disease...
Artificial intelligence (AI) is rapidly entering dementia clinical practice, offering opportunities across the care continuum. However, cognitive decl...
Uniportal full-endoscopic spine surgery (FESS) has expanded over three decades from percutaneous discectomy to include multilevel decompression, endos...
This narrative review examines the essential roles of heparan sulfate proteoglycans (HSPGs) in brain development, synaptic function, axonal guidance, ...
BACKGROUND: Sudden Unexpected Death in Epilepsy (SUDEP) is a leading cause of epilepsy-related mortality, yet remains under-communicated in clinical p...
Most existing ictal stereoelectroencephalography (SEEG)-based seizure onset zone (SOZ) localization methods rely on patient-specific training, limitin...
Deep neural networks (DNNs) excel at predicting neural responses across the visual hierarchy,1,2,3,4,5 a success widely interpreted as evidence of sha...
Pediatric moyamoya disease (MMD) is a progressive steno-occlusive arteriopathy that carries a high risk of recurrent ischemic stroke and neurocognitiv...
Smartphone-based fundus imaging (SBFI) is an emerging approach with potential relevance for global ophthalmic care, including in low- and middle-incom...
BACKGROUND AND PURPOSE: Choroid plexus volume (CPV) may reflect cognitive impairment and glymphatic dysfunction. However, its clinical use is limited ...
Neuromuscular diseases (NMDs) encompass over 800 distinct entities affecting approximately one in 1000 individuals worldwide, with progressive muscle ...
Cerebral aneurysm rupture is strongly associated with localized hemodynamic abnormalities, particularly in aneurysms containing surface blebs that rep...
Alzheimer's disease (AD) and mild cognitive impairment (MCI) require accurate early diagnosis to support timely clinical intervention and disease mana...
Neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD), are multifactorial diseases that are characterized by sev...