Emergency Medicine

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

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Showing 316-336 of 5,216 articles
AI-ECG Supported Decision-Making for Coronary Angiography in Acute Chest Pain: The QCG-AID Study.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analys...

Opportunities and Challenges for Large Language Models in Primary Health Care.

Primary Health Care (PHC) is the cornerstone of the global health care system and the primary object...

Prognostic assessment of osteolytic lesions and mechanical properties of bones bearing breast cancer using neural network and finite element analysis.

The management of skeletal-related events (SREs), particularly the prevention of pathological fractu...

Analyzing resuscitation conference content through the lens of the chain of survival.

BACKGROUND: Resuscitation science today often focuses on advanced topics such as extracorporeal card...

Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantl...

Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions.

BACKGROUND: The rapid advancement of artificial intelligence (AI) has great ability to impact health...

Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation.

The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls ca...

Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches.

BACKGROUND: Hyperglycemic crisis is one of the most common and severe complications of diabetes mell...

Evaluating multimodal ChatGPT for emergency decision-making of ocular trauma cases.

PURPOSE: This study aimed to evaluate the potential of ChatGPT in diagnosing ocular trauma cases in ...

Modelling fourth-order hyperelasticity in soft solids using physics informed neural networks without labelled data.

Mild traumatic brain injury can result from shear shock wave formation in the brain in the event of ...

Preliminary evaluation of ChatGPT model iterations in emergency department diagnostics.

Large language model chatbots such as ChatGPT have shown the potential in assisting health professio...

Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.

: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S....

Can AI reveal the next generation of high-impact bone genomics targets?

Genetic studies have revealed hundreds of loci associated with bone-related phenotypes, including bo...

Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.

Early prediction of intraventricular hemorrhage (IVH) in very low-birthweight infants (VLBWIs) remai...

Artificial intelligence versus orthopedic surgeons as an orthopedic consultant in the emergency department.

INTRODUCTION: ChatGPT, a widely accessible AI program, has demonstrated potential in various healthc...

[Simulators and simulation for advanced training in orthopedic and trauma surgery : An overview].

Simulators and immersive technologies, such as virtual reality and augmented reality are becoming in...

Perioperative risk assessment for emergency general surgery in those with multimorbidity or frailty.

PURPOSE OF REVIEW: This review explores advances in risk stratification tools and their applicabilit...

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