Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: The growth of axial length (AL) can lead to high myopia and ocular deformation, especial...
Accurate quantification of axon density is pivotal in optic nerve-related studies, as axonal degener...
Cerebrovascular segmentation provides valuable cues for cerebrovascular diseases. Deep learning has ...
BACKGROUND: Disturbance of iron homeostasis in both the brain and blood is linked to cognitive impai...
Recent advances underscore the potential of integrating multiomics, such as genomics, transcriptomic...
Oxidative stress (OS) is a hallmark of Alzheimer's disease (AD), yet the cell type-specific mechanis...
OBJECTIVE: The prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to...
OBJECTIVE: Anterior temporal lobe resection (ATLR) is an effective treatment for drug-resistant temp...
STUDY OBJECTIVES: Manual sleep staging in pediatric populations is challenging due to developmental ...
BACKGROUND: Blood-based biomarkers for stroke subtyping could improve triage in emergency settings. ...
Artificial Intelligence of Things (AIoT) enables convenient human health monitoring but consumes mas...
BACKGROUND: Stroke remains one of the leading causes of mortality and long-term disability worldwide...
Gas chromatography-ion mobility spectrometry (GC-IMS) has emerged as a powerful analytical platform ...
Machine learning enables scalable quantification of neuropathology, offering deeper phenotyping of A...
Quantification of the Kiel 67 (Ki-67) labeling index (LI) is critical for assessing proliferation an...
Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-l...
KDIGO stage-3 acute kidney injury (AKI), a life-threatening complication in critically ill patients ...
BACKGROUND: Major depressive disorder (MDD) is a prevalent and disabling condition that remains inad...
BACKGROUND: Hemorrhagic transformation (HT) after recanalization therapy remains a critical concern ...
This study aims to estimate the diagnostic accuracy of deep learning (DL) models for automated detec...
Nitrogen dioxide (NO2) is a significant ambient pollutant whose independent health effects have not ...