Latest AI and machine learning research in neurology for healthcare professionals.
Alzheimer's disease (AD) is a neurodegenerative disorder, and mild cognitive impairment (MCI) repres...
BACKGROUND: Machine learning methods employing neuroimaging data are useful for monitoring the activ...
This editorial introduces a special issue detailing the rapid evolution of multimodal neuroimaging b...
OBJECTIVE: To compare the diagnostic accuracy of four available automated electronic medical record ...
Humans can experience sound-evoked pain, either from extremely loud sounds or in cases of pain hyper...
BACKGROUND: Artificial intelligence (AI), extended reality (XR), and socially assistive robotics (SA...
STUDY OBJECTIVES: Vigilance-state transitions are continuous biological processes, yet conventional ...
Alzheimer's disease (AD) and HIV-associated neurocognitive disorder (HAND) share progressive cogniti...
BACKGROUND AND OBJECTIVES: Patients with temporal lobe epilepsy (TLE) can achieve seizure freedom in...
Human surgery and autopsy specimens are routinely stored as formalin-fixed paraffin-embedded (FFPE) ...
Diagnosis of concussion has been hampered by its subtle and late symptoms, the reliance on subjectiv...
Parkinson's disease (PD) is characterized by progressive dopaminergic neuronal degeneration and neur...
INTRODUCTION: Hereditary transthyretin amyloidosis (ATTRv) is a rare progressive, potentially life-t...
OBJECTIVE: Accurate noninvasive estimation of intracranial pressure (ICP) remains a major challenge ...
BackgroundApproximately half of people living with Alzheimer's disease and related dementias are und...
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder where early diagnosis serves ...
Epilepsy affects roughly 50 million people worldwide and is diagnosed primarily through electroencep...
Central vertigo (CV) lacks objective electrophysiological measures for severity assessment and rehab...
OBJECTIVE: Rapid and accurate detection of electrographic seizures is critical for both clinical dia...
OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for...
BACKGROUND: Transcranial magnetic stimulation-evoked potentials (TEPs) propagate from the stimulatio...