Neurology

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

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UKF-based model parameter estimation to localize the seizure onset zone in ECoG.

Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...

The Role of HbA1c in Parkinson's Disease: An Integrative Analysis by Single-Cell, Bulk Transcriptome and Mendelian Randomization.

Decreased glucose tolerance is recognized as a factor associated with Parkinson's disease (PD) progr...

Can machine learning be a reliable tool for predicting hematoma progression following traumatic brain injury? A systematic review and meta-analysis.

BACKGROUND: Predicting hematoma progression in traumatic brain injury (TBI) is crucial for timely in...

Recent advances (2022-2024) in eye-tracking for Parkinson's disease: a promising tool for diagnosing and monitoring symptoms.

INTRODUCTION: Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, cha...

Exploring the landscape of Parkinson's disease transcriptomics: a quantitative review of research progress and future directions.

INTRODUCTION: This study leverages bibliometric analysis to uncover the research landscape and spotl...

Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification.

Electroencephalography (EEG) provides a non-invasive and real-time approach to decoding motor imager...

A pathway-informed disease-related gene identification approach and its application to screen novel risk genes for Alzheimer's disease.

BACKGROUND: Alzheimer's disease (AD) is a severe neurodegenerative disorder, yet its molecular mecha...

Cerebral ischemia detection using deep learning techniques.

Cerebrovascular accident (CVA), commonly known as stroke, stands as a significant contributor to con...

Microbial vitamin biosynthesis links gut microbiota dynamics to chemotherapy toxicity.

Dose-limiting toxicities pose a major barrier to cancer treatment. While preclinical studies show th...

Ferroelectric HfZrO with Enhanced Intermediate Polarization: A Platform for Neuromorphic and Logic-in-Memory Computing.

Ferroelectric materials, known for their nonvolatile and reversible polarization states, are emergin...

The functional neurobiology of negative affective traits across regions, networks, signatures, and a machine learning multiverse.

Understanding the neural basis of negative affective traits like neuroticism remains a critical chal...

Oxygen Uptake Prediction for Timely Construction Worker Fatigue Monitoring Through Wearable Sensing Data Fusion.

The physical workload evaluation of construction activities will help to prevent excess physical fat...

Transforming Neurosurgical Practice with Large Language Models: Comparative Performance of ChatGPT-Omni and Gemini in Complex Case Management.

BACKGROUND: Recent advancements in artificial intelligence, particularly in large language models (L...

Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks.

Human induced pluripotent stem cells (hiPSCs)-derived neuronal networks on multi-electrode arrays (M...

An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment.

This work describes a dataset containing high-density EEG (hd-EEG) and surface electromiography (sEM...

Neurosymbolic AI as an antithesis to scaling laws.

The recent progress in machine learning has shifted the trends in artificial intelligence (AI) towar...

Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm.

INTRODUCTION: Affecting millions of individuals worldwide, epilepsy is a neurological condition mark...

Predicting alveolar nerve injury and the difficulty level of extraction impacted third molars: a systematic review of deep learning approaches.

BACKGROUND: Third molar extraction, a common dental procedure, often involves complications, such as...

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