Neurology

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

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Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.

BACKGROUND: The possible association between diabetes mellitus and dementia has raised concerns, giv...

A machine learning-based predictive model for predicting early neurological deterioration in lenticulostriate atheromatous disease-related infarction.

BACKGROUND AND AIM: This study aimed to develop a predictive model for early neurological deteriorat...

Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic-Ischemic Encephalopathy.

OBJECTIVES: Neonatal hypoxic-ischemic encephalopathy is a serious neurologic condition associated wi...

Integrating AI-driven wearable devices and biometric data into stroke risk assessment: A review of opportunities and challenges.

Stroke is a leading cause of morbidity and mortality worldwide, and early detection of risk factors ...

Enhancing automatic sleep stage classification with cerebellar EEG and machine learning techniques.

Sleep disorders have become a significant health concern in modern society. To investigate and diagn...

Artificial intelligence terminology, methodology, and critical appraisal: A primer for headache clinicians and researchers.

OBJECTIVE: The goal is to provide an overview of artificial intelligence (AI) and machine learning (...

End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI.

PURPOSE: To develop an end-to-end DL model for automated classification of affected territory in DWI...

3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal.

Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation....

Natural compounds for Alzheimer's prevention and treatment: Integrating SELFormer-based computational screening with experimental validation.

BACKGROUND: This study aimed to develop and apply a novel computational pipeline combining SELFormer...

3D-BCLAM: A Lightweight Neurodynamic Model for Assessing Student Learning Effectiveness.

Evaluating students' learning effectiveness is of great importance for gaining a deeper understandin...

Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke.

BACKGROUND AND PURPOSE: To date, only a few small studies have attempted deep learning-based automat...

Neurodegeneration: 2024 update.

This review highlights a collection of both diverse and highly impactful studies published in the pr...

Applicability of creatinine-based glomerular filtration rate assessment equations to patients with neurogenic bladder.

PURPOSE: Glomerular filtration rate (GFR) measured by dynamic renal scintigraphy (Gates method) is u...

Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review.

BACKGROUND AND AIM: Neurodegenerative disorders (e.g., Alzheimer's, Parkinson's) lead to neuronal lo...

Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation.

Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological diso...

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients.

This article aims to compare the dosimetric performance between knowledge-based plan (KBP) libraries...

A multi-view learning approach with diffusion model to synthesize FDG PET from MRI T1WI for diagnosis of Alzheimer's disease.

INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-bas...

Serum glial fibrillary acidic protein in acute stroke: feasibility to determine stroke-type, timeline and tissue-impact.

BACKGROUND: Interest is emerging regarding the role of blood biomarkers in acute stroke. The aim of ...

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