Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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The Significance of Prolonged Physical Activity in Neurogenesis and Neural Regeneration: Comparing Clinical Studies With Proposed AI-Based Framework.

BACKGROUND: Adult neurogenesis is the biological process whereby neural stem cells (NSCs) differenti...

The safety and accuracy of radiation-free spinal navigation using a short, scoliosis-specific BoneMRI-protocol, compared to CT.

PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

Deep Learning-Driven Multimodal Fusion Model for Prediction of Middle Cerebral Artery Aneurysm Rupture Risk.

RATIONALE AND OBJECTIVES: The decision to treat unruptured intracranial aneurysms remains a clinical...

Enhanced Online Continuous Brain-Control by Deep Learning-based EEG Decoding.

OBJECTIVE: A growing amount of deep learning models for motor imagery (MI) decoding from electroence...

Algorithms for Intraoperative Neurovascular Inclusion Detection, Diameter and Depth Prediction Based on Frequency Domain Near Infrared Spectroscopy.

This study proposes an improved method for subsurface detection of neurovascular structures and thei...

Get Your Brain in the Game: Using Machine Learning to Predict Recovery Timelines Following Sports-Related Concussion.

OBJECTIVE: This exploratory proof-of-concept study aimed to develop predictive models for return-to-...

Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections...

Application of machine learning reveals diagnostic biomarkers related to pyroptosis in Alzheimer's disease and analysis of immune infiltration.

BackgroundAlzheimer's disease (AD) is characterized by complex pathological mechanisms, with pyropto...

Optimized sequential classification models for mild cognitive impairment screening based on handwriting and speech data.

BackgroundHandwriting and speech are served as reliable signatures for detecting cognitive decline, ...

Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device.

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, ...

Exploration of common pathogenic genes between cerebral amyloid angiopathy and insomnia based on bioinformatics and experimental validation.

Cerebral amyloid angiopathy (CAA) and insomnia are age-related neurological disorders increasingly r...

Activated TBK1 promotes ACSL1-mediated microglia lipid droplet accumulation and neuroinflammation in Parkinson's disease.

UNLABELLED: Microglia-mediated neuroinflammation plays a crucial role in the progression of Parkinso...

Significance of a Novel Angiogenesis-Related Biomarker Neuropilin-1 in Keloids.

Keloids are a severe type of pathological scars caused by excessive connective tissue hyperplasia af...

Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks.

Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications li...

Deep learning to identify stroke within 4.5 h using DWI and FLAIR in a prospective multicenter study.

To enhance thrombolysis eligibility in acute ischemic stroke, we developed a deep learning model to ...

Genetic and molecular underpinnings of the link between rheumatoid arthritis and myasthenia gravis: Insights from GWAS and transcriptomic analyses.

BACKGROUND: Although studies have shown that patients with rheumatoid arthritis (RA) are at a higher...

Advancing Intelligent Neuromorphic Computing: Recent Progress in All-Optical-Controlled Artificial Synaptic Devices.

The rapid development of artificial intelligence and the increasing volume of generated data have he...

Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.

The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in ...

EEG microstate analysis in children with prolonged disorders of consciousness.

Prolonged disorders of consciousness (pDoC) in children lack objective and effective diagnostic meth...

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