Neurology

Head Trauma

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

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Showing 421-441 of 6,666 articles
Volumetric Alterations of the Hippocampal Subfields in Major Depressive Disorder with and without Suicidal Ideation.

Major depressive disorder (MDD) is often accompanied with suicidal ideation (SI). Previous studies s...

Cholesterol Levels, Hormone Replacement Therapy, and Incident Dementia among Older Adult Women.

Previous studies revealed that hormone replacement therapy (HRT) probably has a protective effect fo...

POST-HOC EXPLAINABILITY OF BI-RADS DESCRIPTORS IN A MULTI-TASK FRAMEWORK FOR BREAST CANCER DETECTION AND SEGMENTATION.

Despite recent medical advancements, breast cancer remains one of the most prevalent and deadly dise...

Insulin signaling in insulin-dysregulated Icelandic horses.

The underlying molecular mechanisms leading to insulin dysregulation are poorly understood in horses...

Plasma interleukin 6 as an outcome predictor of traumatic brain injury patients.

Traumatic brain injury is one of the leading causes of death and disability in young adults. Previou...

Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme.

Recent multi-omics studies, including proteomics, transcriptomics, genomics, and metabolomics have r...

Brief exosuit use improves post-stroke gait.

After only 2 weeks of training with an exoskeleton suit, post-stroke individuals improved their knee...

Development of immersive learning framework (ILF) in achieving the goals of higher education: measuring the impact using a pre-post design.

Emerging technological tools like Artificial Intelligence-based Chatbots, digital educational altern...

Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.

Genome-wide association studies (GWAS) have identified genetic variations associated with adverse dr...

Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.

OBJECTIVES: To determine the scope of the application of natural language processing to free-text cl...

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence.

Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known ab...

Post-harvest biocontrol of Salmonella Enteritidis on Chicken breast meat and Shell eggs using multiphage cocktail.

The study aimed to evaluate the efficacy of a phage cocktail to reduce Salmonella Enteritidis contam...

Multi-omics integration strategy in the post-mortem interval of forensic science.

Estimates of post-mortem interval (PMI), which often serve as pivotal evidence in forensic contexts,...

Machine Learning for the Prediction of Survival Post-Allogeneic Hematopoietic Cell Transplantation: A Single-Center Experience.

INTRODUCTION: Prediction of outcomes following allogeneic hematopoietic cell transplantation (HCT) r...

Post-Processing Automatic Transcriptions with Machine Learning for Verbal Fluency Scoring.

OBJECTIVE: To compare verbal fluency scores derived from manual transcriptions to those obtained usi...

Systematic review of machine learning in PTSD studies for automated diagnosis evaluation.

Post-traumatic stress disorder (PTSD) is frequently underdiagnosed due to its clinical and biologica...

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