Neurology

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

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Integrated bioinformatics and machine learning, research on specific biomarkers for large-artery atherosclerosis stroke.

Large-artery atherosclerosis stroke (LAA) is the main subtype of ischemic stroke. Currently, the diagnosis of LAA is confirmed through magnetic resonance imaging. At present, numerous substances are extensively studied as biomarkers, including metabolites, inflammatory factors, RNA, and more. In this study, we incorporated LAA peripheral blood data from various datasets and employed methods such a...

Mar 21 2026 41895166

Computational delineation and cellular profiling of murine cortical cell layers using multiplex immunofluorescence imaging.

BACKGROUND: The adult mammalian cerebral cortex has a vertical laminar organization consisting of six neuronal layers, with each layer subserving a specific function. Accurate delineation and assignment of cortical neurons to their appropriate layer is important to understanding normal and diseased cerebral cortex function. NEW METHOD: We present a data-driven method for delineating cortical cell ...

Mar 21 2026 41871770
Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even in the absence of vertebral fractures, suggesting t...

Mar 21 2026 41863388
Recent Advances in the Non-viral Delivery of Genes to Central Nervous System Disorders.

Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, genetic disorders) constitute a significant burden...

Mar 21 2026 41865126
Hippocampal subfields volumes as biomarkers for early diagnosis of asymptomatic manganese overexposure.

Chronic occupational manganese (Mn) overexposure is associated with motor and cognitive deficits, but its effects on hippocampal subfields remain unde...

Mar 20 2026 41865917
Novel genomic risk stratification model for primary high-grade malignant peripheral nerve sheath tumor (MPNST).

Risk stratification across the three main clinical subsets of malignant peripheral nerve sheath tumor (MPNST), neurofibromatosis type I (NF1-related),...

Mar 20 2026 41863012
Environmental supportiveness, physical activity, and sedentary time in children with cerebral palsy.

AIM: To describe how movement behaviours (sedentary time, light-intensity physical activity, moderate-to-vigorous physical activity [MVPA]) and parent...

Mar 20 2026 41859877
A Digital Intervention for Capturing Real-Time Health Data for Epilepsy Seizure Forecasting: Protocol for the ATMOSPHERE Study.

BACKGROUND: Epilepsy is a chronic neurological disorder marked by recurrent and apparently unpredictable seizures and associated with premature death,...

Mar 20 2026 41860151
Longitudinal Investigation of Postural Strategies Associated with Improvement in Gait Speed Following Adult Spinal Deformity Surgery using Machine Learning.

STUDY DESIGN: Retrospective longitudinal cohort study. OBJECTIVE: To identify postural strategies associated with improvement in gait speed following ...

Mar 20 2026 41860195
Stereotactic Body Radiotherapy for Spinal Metastases: Outcomes and Development of a Risk Assessment Score to Predict Local Tumor Progression.

BACKGROUND AND OBJECTIVES: Stereotactic body radiotherapy (SBRT) has emerged as an effective treatment modality for spinal metastases. However, high-p...

Mar 20 2026 41860238
Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy.

OBJECTIVES: Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic periphe...

Mar 20 2026 41860757
Population-Level Digital Stroke Surveillance: Building a Fair and Accurate ICD-10 Detection Model.

Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for clinical care, quality assurance, and stroke resea...

Mar 20 2026 41861058
Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.

Alzheimer's disease (AD) is a major cause of dementia, and this paper explores the unclear roles of mitochondrial dysfunction and programmed cell deat...

Mar 20 2026 41861196
Developing and validating a clinically actionable prediction tool for Parkinson disease using explainable machine learning with multidimensional national data: A cross-sectional study.

Parkinson disease (PD) is a rapidly growing neurodegenerative disorder that presents a significant public health challenge in aging societies, particu...

Mar 20 2026 41861219
Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

BACKGROUND: Artificial intelligence (AI) has shown promise for automating spinal alignment assessment in adolescent idiopathic scoliosis (AIS). Howeve...

Mar 20 2026 41861366
Effect of a clinical decision support system on stroke care quality and outcomes in patients with acute ischaemic stroke (GOLDEN BRIDGE II): cluster randomised clinical trial.

OBJECTIVE: To evaluate the efficacy of a clinical decision support system (CDSS) on stroke care quality and clinical outcomes among patients with acut...

Mar 20 2026 41862204
Dense and distributed neuropeptide network in the nerve net of Hydra vulgaris.

Neuroscience has long emphasized synaptic transmission and physical wiring as the substrate of brain function and behavior. However, an additional lay...

Mar 20 2026 41860945
Cognitive function is associated with risk of conversion to secondary progressive multiple sclerosis: A cross-sectional study.

BACKGROUND: Predicting conversion from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS) is critical fo...

Mar 20 2026 41860849
Research on epilepsy detection and recognition based on the combination of time frequency transform and deep learning model.

To improve the detection performance of epileptic electroencephalogram (EEG) signals and address their non-stationary characteristics,this paper compa...

Mar 20 2026 41860927
Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.

Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts severe pressure on healthcare systems. Early detection...

Mar 20 2026 41861029
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