Neurology

Head Trauma

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

6,666 articles
Stay Ahead - Weekly Head Trauma research updates
Subscribe
Browse Specialties
Showing 232-252 of 6,666 articles
Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.

INTRODUCTION: Acute kidney injury (AKI) is notably prevalent after cardiac surgery for patients with...

Gene ontology defines pre-post- hatch energy dynamics in the complexus muscle of broiler chickens.

BACKGROUND: Chicken embryos emerge from their shell by the piercing movement of the hatching muscle....

Deep learning methods for 3D magnetic resonance image denoising, bias field and motion artifact correction: a comprehensive review.

Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...

AI-Assisted Post Contrast Brain MRI: Eighty Percent Reduction in Contrast Dose.

OBJECTIVES: In the context of growing safety concerns regarding the use of gadolinium-based contrast...

Rapid detection of poultry meat quality using S-band to KU-band radio-frequency waves combined with machine learning-A proof of concept.

Rapid changes in consumer preferences for high-quality animal-based protein have driven the poultry ...

Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study.

BackgroundHealthcare institutions throughout the world rely on medical devices to provide their serv...

Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Infusion pumps case study.

BackgroundAnalysis of data from incident registries such as MAUDE has identified the need to improve...

Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.

IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, w...

Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma.

Estimation of the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and t...

Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post-hoc analysis of the WARCEF trial.

BACKGROUND: The prediction of ischaemic stroke in patients with heart failure with reduced ejection ...

Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases.

Machine learning has gained attention in the medical field. Continuous efforts are being made to dev...

Random Forest Prognostication of Survival and 6-Month Outcome in Pediatric Patients Following Decompressive Craniectomy for Traumatic Brain Injury.

BACKGROUND: There is a dearth of literature regarding prognostic and predictive factors for outcome ...

An ANN models cortical-subcortical interaction during post-stroke recovery of finger dexterity.

Finger dexterity, and finger individuation in particular, is crucial for human movement, and disrupt...

Comprehensive assessment of cascading dams-induced hydrological alterations in the lancang-mekong river using machine learning technique.

The development of cascading hydropower dams in river basins has significantly altered natural flow ...

Explainable machine learning for early prediction of sepsis in traumatic brain injury: A discovery and validation study.

BACKGROUND: People with traumatic brain injury (TBI) are at high risk for infection and sepsis. The ...

Artificial Intelligence-Generated Writing in the ERAS Personal Statement: An Emerging Quandary for Post-graduate Medical Education.

OBJECTIVE: This study was designed to investigate if artificial intelligence (AI) detection software...

Browse Specialties