Neurology

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

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Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.

BACKGROUND: Negative Cognitive Styles (NCS) are key features of depression contributing to severe cl...

Dec 2025 41475572
NAD+ restores proteostasis through splicing-dependent autophagy.

Autophagy preserves neuronal integrity by clearing damaged proteins and organelles, but its efficien...

(1)
Dec 2025 41313318
Spatial radiomics-based interpretable multimodal machine learning model enhances outcomes prediction for minor stroke: A multicenter cohort study.

INTRODUCTION: Accurately identifying unfavorable outcomes is crucial for the clinical management of ...

Dec 2025 41468960
Machine learning in stroke and its sequelae: a narrative review of clinical applications and emerging trends.

OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke an...

Dec 2025 41478163
Fully automated quantification of net water uptake in acute ischemic stroke using only non-contrast CT imaging.

OBJECTIVE: Estimating early lesion progression in ischemic stroke is essential for assessing thrombo...

Dec 2025 41444396
Automating wound assessment: convolutional neural network-based mobile application for SINBAD classification system.

INTRODUCTION: Diabetic foot ulcer (DFU) assessment using the SINBAD system is essential for clinical...

Dec 2025 41459548
GenEEG: Improving epileptic EEG detection through patient-adaptive latent diffusion and continual learning.

Automated seizure detection systems face significant challenges due to the limited availability of c...

Dec 2025 41447951
Causal models and network instability in neurological and psychiatric disorders: Computational and clinical perspectives.

Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining propert...

Dec 2025 41448497
Tenuigenin ameliorates Alzheimer's disease by targeting MAP2K1: integrated evidence from network pharmacology and experimental validation.

OBJECTIVE: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder primarily characterize...

Dec 2025 41460031
Support vector machine classification of 18F-FDG PET scans across subtypes of amyotrophic lateral sclerosis.

PURPOSE: While 18F-FDG PET imaging has demonstrated diagnostic value in people with Amyotrophic Late...

Dec 2025 41423553
Deep learning based treatment remission prediction to transcranial direct current stimulation in bipolar depression using EEG power spectral density.

Bipolar disorder is characterized by marked changes in mood and activity levels and is a leading cau...

Dec 2025 41478240
Wirelessly transmitted subthalamic nucleus signals decode endogenous pain levels in Parkinson's disease patients.

Pain is a prominent non-motor symptom of Parkinson's disease (PD); it may appear in various levels (...

Dec 2025 41443379
A clinical-AI correlation for integrating artificial intelligence into stroke care: a systematized literature review and practice framework.

BACKGROUND AND PURPOSE: The rapid integration of artificial intelligence (AI) into stroke care has o...

Dec 2025 41435444
Decoding aroma perception of grilled lamb skewers: an EEG-MambaFusionNet framework integrating TDS and GC-IMS.

This study investigates the dynamic evolution of aroma perception in grilled lamb skewers from raw t...

Dec 2025 41443075
Complexity of olfactory-evoked EEG as an evidence-based marker of Alzheimer's disease.

Olfactory impairment is an early symptom of Alzheimer's disease (AD). However, currently used olfact...

Dec 2025 41429382
Advances in occult cancer screening for patients with unprovoked venous thromboembolism: A narrative review of epidemiology, risk, and clinical strategies.

BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probabi...

(1)
Dec 2025 41422932
Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets.

Brain age is an emerging concept that reflects complex, time-dependent changes in brain structure, i...

Dec 2025 41414873
Association of Brain Age With Physical Disability and Cognitive Impairment in People With Multiple Sclerosis of the Same Age.

BACKGROUND AND OBJECTIVES: The brain-predicted age difference (brain-PAD) is a novel marker of neuro...

Dec 2025 41411602
A multi-scale deep CNN based on attention mechanism for EEG emotion recognition.

BACKGROUND: Recognizing emotion is a crucial project within the domain of brain-computer interface t...

Dec 2025 41418936
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