Neurology

Performance-Recoverable Closed-Loop Neuroprosthetic System.

Soft bioelectronics mechanically comparable to living tissues have driven advances in closed-loop ne...

Utility of machine learning algorithms in classification of progressive cognitive impairment in Alzheimer's disease: A retrospective cohort based on China.

BackgroundDistinct risk factors influence Alzheimer's disease (AD) stage stratification, yet effecti...

Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...

γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.

γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric di...

Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries b...

On the usage of artificial intelligence in leprosy care: A systematic literature review.

Leprosy, or Hansen's disease, is a Neglected Tropical Disease (NTD) caused by Mycobacterium leprae t...

Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.

IMPORTANCE: Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from opt...

Unraveling the role of perineural invasion in cancer progression across multiple tumor types.

Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...

Impact of Artificial Intelligence on the Timing of Recurrent Laryngeal Nerve Recognition during Robot-Assisted Minimally Invasive Esophagectomy.

BACKGROUND: As a first step to prevent recurrent laryngeal nerve (RLN) palsy, we have developed an a...

High-Temperature Resilient Neuromorphic Device Based on Optically Configured Monolayer MoS for Cognitive Computing.

High-temperature neuromorphic devices are vital for space exploration and operations in harsh enviro...

The class imbalance problem in automatic localization of the epileptogenic zone for epilepsy surgery: a systematic review.

Accurate localization of the epileptogenic zone (EZ) is crucial for epilepsy surgery, but the class ...

Development and validation of a combined clinical and MRI-based biomarker model to differentiate mild cognitive impairment from mild Alzheimer's disease.

BACKGROUND: Two of the most common complaints seen in neurology clinics are Alzheimer's disease (AD)...

A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection.

Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain act...

Progression and natural history of Atypical Parkinsonism (ATPARK): Protocol for a longitudinal follow-up study from an underrepresented population.

BACKGROUND: Atypical Parkinsonian Syndromes (APS) form the third largest group of neurodegenerative ...

Machine learning prediction models for stroke-associated pneumonia:Meta-analysis.

OBJECTIVE: The heterogeneity of machine learning (ML) models predicting the risk of stroke-associate...

Impact of proton versus photon radiotherapy on overall survival in the management of spinal chordoma and mortality risk prediction: a nationwide analysis.

PURPOSE: This study aims to provide a national-level insight into the optimal management of spinal c...

Development and Validation of Machine Learning Models for Predicting 7-Day Mortality in Critically Ill Patients with Traumatic Spinal Cord Injury: A Multicenter Retrospective Study.

BACKGROUND: Traumatic spinal cord injury (TSCI), a severe central nervous system injury, despite tre...

Machine Learning-Based Risk Assessment of Myasthenia Gravis Onset in Thymoma Patients and Analysis of Their Correlations and Causal Relationships.

The study aims to utilize interpretable machine learning models to predict the risk of myasthenia gr...

ASO Author Reflections: Can Artificial Intelligence Improve Confidence and Timing in Recurrent Laryngeal Nerve Recognition?

Novel Application of Connectomics to the Surgical Management of Pediatric Arteriovenous Malformations.

Introduction The emergence of connectomics in neurosurgery has allowed for construction of detailed ...

Association of peripheral immune markers with brain age and dementia risk estimated using deep learning methods.

BACKGROUND: The peripheral immune system is essential for maintaining central nervous system homeost...