Neurology

Head Trauma

Latest AI and machine learning research in head trauma for healthcare professionals.

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Predicting outcomes after moderate and severe traumatic brain injury using artificial intelligence: a systematic review.

Methodological standards of existing clinical AI research remain poorly characterized and may partia...

Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of Iraq.

Vaccination has long been recognized as the most effective means for disease prevention, yet concern...

Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps.

Despite advances in the management of traumatic brain injury (TBI) in the intensive care unit (ICU),...

Prediction of functional outcome after traumatic brain injury: a narrative review.

PURPOSE OF REVIEW: To synthesize current evidence on prognostic factors, tools, and strategies influ...

A Post-Quantum Blockchain and Autonomous AI-Enabled Scheme for Secure Healthcare Information Exchange.

Secure healthcare information exchange (HIE) is critical to improving medical services, enabling dat...

Precision-Optimised Post-Stroke Prognoses.

BACKGROUND: Current medicine cannot confidently predict who will recover from post-stroke impairment...

Exploring the molecular mechanisms of lactylation-related biological functions and immune regulation in sepsis-associated acute kidney injury.

Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...

SCAI-Net: An AI-driven framework for optimized, fast, and resource-efficient skull implant generation for cranioplasty using CT images.

Skull damage caused by craniectomy or trauma necessitates accurate and precise Patient-Specific Impl...

A Synergistic Approach Using Photoacoustic Spectroscopy and AI-Based Image Analysis for Post-Harvest Quality Assessment of Conference Pears.

This study presents a non-invasive approach to monitoring post-harvest fruit quality by applying CO ...

A cocktail hydrogel promoting the functional interneurons regeneration of human neural progenitor cells for brain injury therapy.

INTRODUCTION: Traumatic Brain Injury (TBI) usually leads to substantial mortality and disability amo...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

Recent Advancements in Smart Hydrogel-Based Materials in Cartilage Tissue Engineering.

Cartilage tissue engineering (CTE) is an advancing field focused on developing biomimetic scaffolds ...

Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction.

Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Glo...

Unsophisticated AI coaching does not improve performance on symptom and performance validity tests in a Romanian sample of experimental feigners.

The present study aimed to investigate the ability of symptom and performance validity indicators to...

Predicting Resistance and Survival of HCC Patients Post-HAIC: Based on Shapley Additive exPlanations and Machine Learning.

PURPOSE: To establish prediction models using Shapley Additive exPlanations (SHAP) and multiple mach...

Identifying and predicting headache trajectories among those with acute post-traumatic headache.

OBJECTIVES/BACKGROUND: Post-traumatic headache (PTH) is a common symptom following mild traumatic br...

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