Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World.

Machine learning (ML) is increasingly valuable for predicting molecular properties and toxicity in d...

Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively?

BACKGROUND: This study focused on two Artificial Intelligence chatbots, ChatGPT 3.5 and Google Gemin...

Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques.

By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive ...

Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.

Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care...

Artificial intelligence-guided distal radius fracture detection on plain radiographs in comparison with human raters.

BACKGROUND: The aim of this study was to compare the performance of artificial intelligence (AI) in ...

Achieving SDoH Resource Equity in PICU Using an AI-Enabled Patient Navigator.

Trauma care coordination in the pediatric intensive care unit (PICU), including personalization of r...

A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions.

BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread applicat...

Artificial intelligence for severity triage based on conversations in an emergency department in Korea.

In the fast-paced emergency departments, where crises unfold unpredictably, the systematic prioritiz...

Deep behavioral phenotyping tracks functional recovery following tibia fracture in mice.

INTRODUCTION: An estimated 178 million fractures occur worldwide each year, with lower limb fracture...

Predicting sepsis treatment decisions in the paediatric emergency department using machine learning: the AiSEPTRON study.

BACKGROUND: Early identification of children at risk of sepsis in emergency departments (EDs) is cru...

Analyzing the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of Chatbots in Emergency Nursing: A Narrative Review of Literature.

Artificial intelligence (AI) has the potential to enhance health care by optimizing patient manageme...

A customizable P hydrogel applicator for brachytherapy of skin hemangioma based on machine learning and 3D-printing.

Skin hemangioma is a tumor originating from skin blood vessels, which often occurs in infants and ch...

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Diagnosis of In Vivo Vertical Root Fracture in Endodontically Treated Teeth Using Machine Learning Techniques.

INTRODUCTION: This study aimed to diagnose vertical root fracture (VRF) of endodontically treated te...

Machine Learning-Based Modeling for Predicting Hypopituitarism After Cranial Trauma.

OBJECTIVE: Traumatic brain injury (TBI) remains a leading cause of disability and death globally, an...

Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.

Corticosteroids decrease the duration of organ dysfunction in sepsis and a range of overlapping and ...

Acute coronary syndromes: mechanisms, challenges, and new opportunities.

Despite advances in research and patient management, atherosclerosis and its dreaded acute and chron...

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