Latest AI and machine learning research in neurology for healthcare professionals.
We explored effects of (1) training with various sample sizes of multi-site vs. single-site training...
. Computed tomography perfusion (CTP) imaging is widely used for assessing acute ischemic stroke. Ho...
BACKGROUND: Quantitative muscle water T2 (T2w) mapping is regarded as a biomarker for disease activi...
The coordination of muscles in human locomotion is commonly understood as the integration of motor m...
Brain-computer interface (BCI) systems allow users to communicate with external devices by translati...
BACKGROUND: Understanding how sensory stimuli are represented across different brains, species, and ...
Artificial Intelligence (AI) and deep learning models have revolutionized diagnosis, prognostication...
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, provi...
Seizure frequency is essential for evaluating epilepsy treatment, ensuring patient safety, and reduc...
Acute ischemic stroke (AIS) patients with good collaterals tend to have better outcomes after endova...
Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...
Auditory attention decoding from electroencephalogram (EEG) could infer to which source the user is ...
In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined ...
Artificial intelligence has transformed both plankton dynamics and hazardous material management und...
Magnetic resonance Imaging (MRI)-derived brain-age prediction is a promising biomarker of biological...
BACKGROUND: Alzheimer's disease is the most prevalent kind of age-associated dementia among older ad...
OBJECTIVE: To develop an objective ensemble machine learning model combining clinical features and q...
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical ...
OBJECTIVES: Unstructured and structured data in electronic health records (EHR) are a rich source of...
OBJECTIVE: Deep learning (DL) has been used in differentiating a range of ophthalmic conditions. We ...
Assessing collateral circulation is essential in determining the best treatment for ischemic stroke ...