Latest AI and machine learning research in neurology for healthcare professionals.
Memristors are commonly used as the connecting parts of neurons in brain-like neural networks. The m...
OBJECTIVE: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are prevalent neurodegenerativ...
BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcom...
OBJECTIVES: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage cha...
This systematic literature review explores the intersection of neuroscience and deep learning in the...
Individuals with neuropsychiatric disorders experience both physical and mental difficulties, hinder...
The ever-increasing volume of complex data poses significant challenges to conventional sequential g...
Artificial intelligence (AI) systems are widely applied in various industries and everyday life, par...
Intracranial calcifications, particularly within the falx cerebri, serve as crucial diagnostic marke...
BACKGROUND: Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, with hemorrhagi...
AIM: This work aimed to update and summarize the existing evidence on the effectiveness of robot-ass...
Alzheimer's disease (AD) is a serious neurodegenerative disorder that causes incurable and irreversi...
OBJECTIVES: To implement state-of-the-art deep learning architectures such as Deep-Residual-U-Net an...
Surgical and neuropathologists continuously search for new and disease-specific features, such as in...
OBJECTIVE: The mandibular canal (MC) houses the inferior alveolar nerve. Extraction of the mandibula...
BACKGROUND: Electromyographic (EMG) recordings indicate that both the flexor digitorum brevis and so...
Segmentation in medical imaging is an essential and often preliminary task in the image processing c...
Environmental chemicals can enter the human body through various exposure pathways, potentially lead...
With recent significant advancements in artificial intelligence, the necessity for more reliable rec...
BACKGROUND: Real-time monitoring of pediatric epileptic seizures poses a significant challenge in cl...
The prediction of epileptic seizures is a classical research problem, representing one of the most c...