Head Trauma

Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy.

OBJECTIVE: This study aimed to develop and validate a machine learning-based model for predicting sy...

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Eyes Are the Windows to the Soul: Reviewing the Possible Use of the Retina to Indicate Traumatic Brain Injury.

Traumatic brain injury (TBI) induces complex molecular and cellular responses, often leading to visi...

Unbiased Quantification of Persistent Postural and Motor Deficits Following Spinal Cord Injury in Mice.

Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to ...

Artificial intelligence-enhanced electrocardiogram diastolic function grade predicts post-septal myectomy mortality in hypertrophic cardiomyopathy.

BACKGROUNDS: Diastolic dysfunction is an important pathophysiologic feature of hypertrophic cardiomy...

MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting.

Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and co...

Artificial Optoelectronic Synapse Featuring Bidirectional Post-Synaptic Current for Compact and Energy-Efficient Neural Hardware.

Conventional hardware neural networks (HW-NNs) have relied on unidirectional current flow of artific...

Near-Freezing-Temperature Golgi Neuronal Staining for X-ray Imaging of Human Brain.

Achieving detailed neuronal structural information in large-volume brain tissue has been a longstand...

Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation.

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) faci...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...

A novel network architecture for post-applicator placement CT auto-contouring in cervical cancer HDR brachytherapy.

BACKGROUND: High-dose-rate brachytherapy (HDR-BT) is an integral part of treatment for locally advan...

The Role of Hydrogen Sulfide in the Localization and Structural-Functional Organization of p53 Following Traumatic Brain Injury: Development of a YOLO Model for Detection and Quantification of Apoptotic Nuclei.

Traumatic brain injury (TBI) triggers a cascade of molecular and cellular disturbances, including ap...

Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

INTRODUCTION: The adoption of artificial intelligence (AI) is gaining increased interest in medical ...

Correlation Between Neurocognitive Outcomes and Neuroaxonal Connectome Alterations After Whole Brain Radiotherapy: A Proof-of-Concept Study.

Connectomics is an evolving branch of neuroscience that determines structural and functional connec...

Short-Term Impact of Dry Needling Treatment for Myofascial Pain on Equine Biomechanics Through Artificial Intelligence-Based Gait Analysis.

Myofascial pain syndrome (MPS) is a common source of musculoskeletal pain, characterized by trigger ...

UKF-based model parameter estimation to localize the seizure onset zone in ECoG.

Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...

Can machine learning be a reliable tool for predicting hematoma progression following traumatic brain injury? A systematic review and meta-analysis.

BACKGROUND: Predicting hematoma progression in traumatic brain injury (TBI) is crucial for timely in...

Exploring the Essential Competencies for Medical Education in the Post-COVID-19 Pandemic Era: A Mixed-Methods Investigation at a Japanese Medical School.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to considerable advances in med...

Harnessing integrated bioinformatics to identify new diagnostic and therapeutic strategies for heart failure.

Heart failure (HF) is a life-threatening condition that poses a significant challenge on public heal...

AI tool flags people at high risk of post-partum depression.