Neurology

Improving early detection of Alzheimer's disease through MRI slice selection and deep learning techniques.

Alzheimer's disease is a progressive neurodegenerative disorder marked by cognitive decline, memory ...

Advancements in the investigation of the mechanisms underlying cognitive aging.

Cognitive aging, a pivotal domain at the intersection of neuroscience and psychology, exhibits a str...

Multimodal machine learning for risk-stratified bundled payments in spinal surgery.

Accurate prediction of financial metrics in spine surgery is crucial as healthcare transitions to va...

Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis.

BACKGROUND: Anxiety is a common yet often underdiagnosed and undertreated comorbidity in multiple sc...

Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Brain stroke is an illness which affects almost every age group, particularly people over 65. There ...

Role of hippocampus in epileptogenesis: new insights in the cross-talks between the underlying mechanisms.

As a component of the limbic system, the hippocampal region, one of the deep structures of the media...

Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Pain-related discussions on social media provide valuable insights into how people naturally express...

How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders.

Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and...

Value of artificial intelligence in neuro-oncology.

CNS cancers are complex, difficult-to-treat malignancies that remain insufficiently understood and m...

A Co-Plane Machine Learning Model Based on Ultrasound Radiomics for the Evaluation of Diabetic Peripheral Neuropathy.

RATIONALE AND OBJECTIVES: Detection of diabetic peripheral neuropathy (DPN) is critical for preventi...

DPP-DTT Nanowire Phototransistors for Optoelectronic Synapses in EMG and ECG Signal Classification.

A neuromorphic phototransistor based on nanowire-patterned diketopyrrolo-pyrrole-dithienylthieno[3,2...

Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder. The role of protein pos...

Towards scalable screening for the early detection of Parkinson's disease: validation of an iPad-based eye movement assessment system against a clinical-grade eye tracker.

Early detection and monitoring of Parkinson's disease (PD) remain challenging, highlighting the need...

Multimodal Alzheimer's disease recognition from image, text and audio.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly affects cogn...

Brain connectome differences between attention deficit hyperactivity disorder (ADHD) and neurotypical children during visual attention: A study using a minimum spanning tree graph, multichannel EEG recording and machine learning.

BACKGROUND: Individuals with attention deficit hyperactivity disorder (ADHD) perform visual attentio...

Machine learning diagnostic model for amyotrophic lateral sclerosis analysis using MRI-derived features.

PURPOSE: Amyotrophic Lateral Sclerosis is a devastating motor neuron disease characterized by its di...

ICU-EEG Pattern Detection by a Convolutional Neural Network.

OBJECTIVE: Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring ...

Ensemble deep learning model for early diagnosis and classification of Alzheimer's disease using MRI scans.

BackgroundAlzheimer's disease (AD) is an irreversible neurodegenerative disorder characterized by pr...

Unravelling the genetic complexity of drug-resistant epilepsy: a critical narrative review.

INTRODUCTION: Drug-resistant epilepsy (DRE) affects 30% of epilepsy patients and represents a major ...

Machine learning-based proteomics profiling of ALS identifies downregulation of RPS29 that maintains protein homeostasis and STMN2 level.

Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease. The molecular understandi...

Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis.