Latest AI and machine learning research in neurology for healthcare professionals.
PURPOSE OF REVIEW: This review explores innovative strategies to address the treatment gap for pedia...
Clinical implementation of neurofilament light chain (NfL), a biomarker of neurodegeneration, remain...
The early diagnosis of Parkinson's disease (PD) using SPECT imaging continues to be challenging due ...
This study analyzes a publicly available, 7-class iEMG dataset from West China Hospital to prevent n...
Biometric recognition based on electroencephalography (EEG), which captures intrinsic neural dynamic...
Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but...
Compact robotic systems offer new opportunities for spinal procedures outside the operating room, bu...
Nerve pain screening in patients with headache disorders requires specialized clinical knowledge tha...
BACKGROUND/OBJECTIVE: Stroke remains a leading cause of morbidity and mortality worldwide. Circulati...
To address the inherent complexity and nonlinearity of electroencephalogram (EEG) signals, this stud...
Understanding why patients with the same diagnosis exhibit markedly different disease progression-so...
OBJECTIVE: This exploratory study attempted to identify a peripheral blood-based, ferroptosis-relate...
STUDY DESIGN: Narrative review. OBJECTIVE: To perform a review discussing current applications of ar...
BACKGROUND: Post-stroke aphasia is a prevalent and often disabling language impairment. Despite its ...
BACKGROUND: Machine-learning models based on tissue transcriptomic data are powerful tools for disea...
This study introduces a novel adaptive deep learning framework for EEG-based schizophrenia diagnosis...
This study developed and externally validated a multicenter machine learning framework to predict 6-...
BACKGROUND: Magnetoencephalography (MEG) non-invasively records brain activity. It is widely used in...
BACKGROUND: Parkinson's disease (PD) exhibits substantial heterogeneity in clinical presentation and...
PURPOSE: We aimed to develop a universal, fully automated segmentation algorithm that allows robust ...
UNLABELLED: Assessing respiratory function in spinal muscular atrophy (SMA) is challenging due to th...