Neurology

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

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Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer's Disease Diagnosis.

Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehens...

Using artificial intelligence (AI) for form and content checks of medical reports: Proofreading by ChatGPT4.0 in a neurology department.

INTRODUCTION: Medical reports contain critical information and require concise language, yet often d...

Robust resolution improvement of 3D UTE-MR angiogram of normal vasculatures using super-resolution convolutional neural network.

Contrast-enhanced UTE-MRA provides detailed angiographic information but at the cost of prolonged sc...

Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving ...

Machine learning predicts spinal cord stimulation surgery outcomes and reveals novel neural markers for chronic pain.

Spinal cord stimulation (SCS) is a well-accepted therapy for refractory chronic pain. However, predi...

Robot-Assisted Stereotactic Microinjection Method for Precision Cell Transplantation in Rat and Canine Models.

Cell transplantation is a promising approach for addressing neurodegenerative conditions. In this st...

Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care.

BACKGROUND: Venous thromboembolism (VTE) is a life-threatening complication commonly occurring after...

Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.

The objective of this study was to assess the feasibility and efficacy of using real-time human-in-t...

Artificial intelligence-based incisive canal visualization for preventing and detecting post-implant injury, using cone beam computed tomography.

The aim of this study was to clinically validate an artificial intelligence (AI)-based tool for auto...

Voice analysis in Parkinson's disease - a systematic literature review.

BACKGROUND AND AIM: Parkinson's disease is a neurodegenerative disease. It is often diagnosed at an ...

Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.

Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...

Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study.

INTRODUCTION: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart r...

Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis.

The analysis of cognitive patterns through brain signals offers critical insights into human cogniti...

Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model.

The electrophysiological findings have shown that epileptiform spikes triggering sleep spindles with...

Multimodal machine learning for deception detection using behavioral and physiological data.

Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom ...

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry.

The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug develop...

Multitarget Natural Compounds for Ischemic Stroke Treatment: Integration of Deep Learning Prediction and Experimental Validation.

Ischemic stroke's complex pathophysiology demands therapeutic approaches targeting multiple pathways...

The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis.

BACKGROUND: Parkinson disease (PD) is a common neurodegenerative disease characterized by both motor...

Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis.

Cerebral palsy (CP) is a neurological condition that affects mobility and motor control, presenting ...

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