Neurology

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

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Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes.

AIMS/INTRODUCTION: Severe hypoglycemia (SH) is a major complication in adults with type 1 diabetes m...

(1)
Feb 2026 41716815
Serum metabolomic signatures of relapse recovery in early multiple sclerosis.

BACKGROUND: Relapses in relapsing-remitting multiple sclerosis (RRMS) are acute neuroinflammatory ev...

Feb 2026 41724140
EEG and EMG dataset for analyzing movement-related cortical potentials in hand gesture tasks.

This dataset contains electroencephalography (EEG) and electromyography (EMG) recordings acquired du...

Feb 2026 41809911
The feasibility and accuracy of real-time intra-operative confocal tissue diagnosis in brain and spine cancer surgery.

Real-time intra-operative brain tumour tissue analysis can reduce turnaround times and enable repeat...

Feb 2026 41699335
Addressing Gaps in Parkinson's Disease Etiology: The Need for a Polyexposure Score.

Parkinson's disease (PD) risk and progression are influenced by a complex interplay of genetic, envi...

Feb 2026 41704037
Primary Care Physician Perspectives on Artificial Intelligence for Dementia Screening: A Qualitative Study.

BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient level...

(1)
Feb 2026 41700962
Structural brain imaging biomarkers for predicting seizure recurrence after a first unprovoked seizure.

OBJECTIVES: Predicting seizure recurrence following a first unprovoked seizure (FUS) remains a signi...

(1)
Feb 2026 41701158
Octopamine signaling from clock neurons plays dual roles in Drosophila long-term memory.

Circadian clock genes are best known for regulating circadian rhythms, but they also play crucial ro...

(1)
Feb 2026 41701772
Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied to health care, yet concerns about ...

Feb 2026 41701928
Prediction of Major Stroke (NIHSS > 5) Based on MR Perfusion Imaging Using a 3D ResNet.

PURPOSE: Prediction of stroke symptoms from perfusion patterns in ischemic stroke imaging would be d...

Feb 2026 41703312
Physically reconfigurable synaptic plasticity and learning in stretchable neuromorphic systems.

Wearable electronics that use intrinsically stretchable organic neuromorphic devices offer a promisi...

Feb 2026 41700337
Early diagnosis of Alzheimer's Disease: Graph theoretical analysis of cerebellar network features based on 18F-AV45 PET.

Pathological and neuroimaging changes in the cerebellum of Alzheimer's disease (AD) patients have be...

Feb 2026 41701723
GutMIND: A multi-cohort machine learning framework for integrative characteristics of the microbiota-gut-brain axis in neuropsychiatric disorders.

Emerging evidence underscores bidirectional communication along the microbiota-gut-brain axis in neu...

Feb 2026 41696869
Bioelectronic interface for real-time brain biomarker analysis.

The brain is a highly complex organ, exhibiting a highly dynamic chemical environment, playing cruci...

Feb 2026 41722490
Discriminating between major depressive disorder and bipolar depression: Aberrant EEG microstate dynamics and machine learning classification.

BACKGROUND: Major depressive disorder (MDD) and bipolar depression (BD) are common mood disorders wi...

Feb 2026 41707729
Noninvasive Assessment of the Ulnar Nerve in the Upper Extremity Using Machine Learning.

PURPOSE: The purpose of this study was to develop a machine learning algorithm trained on ultrasound...

(1)
Feb 2026 41737896
Cognition beyond relapses: cognitive progression independent of relapse activity reflects early smoldering neurodegeneration in multiple sclerosis.

BACKGROUND: Progression independent of relapse activity (PIRA) is frequent in relapsing-remitting MS...

Feb 2026 41734676
Prioritising follow-up for people with suspected epilepsy using a digital EEG biomarker.

Lengthy waits for follow-up testing are common for people with suspected epilepsy. This delays diagn...

Feb 2026 41702216
Machine learning-based prediction of significant intraoperative blood loss to guide risk-adapted blood management decisions in spinal surgery.

INTRODUCTION: Significant blood loss (≥ 500 mL) during spinal surgery is common and linked to greate...

Feb 2026 41702326
Environmentally sustainable UV spectrophotometric-chemometric approach for simultaneous determination of budesonide, glycopyrrolate, and formoterol.

This study introduces a sustainable UV-spectrophotometric platform for the simultaneous and individu...

Feb 2026 41699714
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