Neurology

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

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CalTrig: A GUI-Based Machine Learning Approach for Decoding Neuronal Calcium Transients in Freely Moving Rodents.

Advances in in vivo Ca imaging using miniature microscopes have enabled researchers to study single-...

Acousto-Electric Conversion Fiber Networks via Regional Activation of Schwann Cell-Derived Exosomes for Neurogenic Bone Regeneration.

Neurogenic bone regeneration is essential for the effective restoration of bone tissue functionality...

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.

Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, senso...

PETFormer-SCL: a supervised contrastive learning-guided CNN-transformer hybrid network for Parkinsonism classification from FDG-PET.

PURPOSE: Accurate differentiation of Parkinsonism subtypes-including Parkinson's disease (PD), multi...

A hybrid learning approach for MRI-based detection of alzheimer's disease stages using dual CNNs and ensemble classifier.

Alzheimer's Disease (AD) and related dementias are significant global health issues characterized by...

Closed-loop transcranial ultrasound stimulation based on deep learning effectively suppresses epileptic seizures in mice.

Transcranial ultrasound stimulation is a non-invasive neuromodulation technique characterized by its...

Predicting internal carotid artery system risk based on common carotid artery by machine learning.

Early identification of internal carotid artery (ICA) system diseases is critical for preventing str...

Machine learning approaches for improved understanding of factors associated with history of sport-related concussion.

Sport-related concussion (SRC), which accounts for a significant portion of all mild traumatic brain...

Additive Manufacturing of Neuromorphic Systems.

Neuromorphic engineering aims to create brain-inspired computing systems based on synaptic electroni...

Finger drawing on smartphone screens enables early Parkinson's disease detection through hybrid 1D-CNN and BiGRU deep learning architecture.

BACKGROUND: Parkinson's disease (PD), a progressive neurodegenerative disorder prevalent in aging po...

The association between cerebral small vessel disease and unfavorable hematoma morphology in primary intracerebral hemorrhage.

OBJECTIVE: To study the association between cerebral small vessel diseases (CSVD) and unfavorable he...

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the t...

Perovskite Neuromorphic Engine for Transformer Architectures.

Memristive computing refers to the hardware implementation of artificial neural networks (ANNs) by e...

Characterizing aging-related genetic and physiological determinants of spinal curvature.

BACKGROUND: Increased spinal curvature is one of the most recognizable aging traits in the human pop...

Self-supervised data-driven approach defines pathological high-frequency oscillations in epilepsy.

OBJECTIVE: Interictal high-frequency oscillations (HFOs) are a promising neurophysiological biomarke...

The role of neuro-imaging in multiple system atrophy.

Neuroimaging plays a crucial role in diagnosing multiple system atrophy and monitoring progressive n...

Accelerated brain magnetic resonance imaging with deep learning reconstruction: a comparative study on image quality in pediatric neuroimaging.

BACKGROUND: Magnetic resonance imaging (MRI) is crucial in pediatric radiology; however, the prolong...

Enhancing Parkinson's disease prediction using meta-heuristic optimized machine learning models.

Parkinson's disease is a progressive neurological disorder affecting movement and cognition. Early d...

Neural correlates of evaluative bias against AI-labeled versus human-labeled artworks.

The rapid advancement of generative artificial intelligence (AI) has enabled machines to produce cre...

Evaluating the Accuracy and Readability of ChatGPT in Addressing Patient Queries on Adult Spinal Deformity Surgery.

Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with ...

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