Emergency Medicine

Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology.

OBJECTIVES: Neurological emergencies pose significant challenges in medical care in resource-limited...

AI-Based Virtual Triage and Telemedical Health Care for Ukrainian War Refugees and Displaced Persons.

Enhancing clinical decision support with physiological waveforms - A multimodal benchmark in emergency care.

BACKGROUND: AI-driven prediction algorithms have the potential to enhance emergency medicine by enab...

A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy...

Using artificial intelligence-based software for an unbiased discrimination of immune cell subtypes in the fracture hematoma and bone marrow of non-osteoporotic and osteoporotic mice.

It is well established that the early inflammatory response following fracture is essential for init...

Predicting 30-day survival after in-hospital cardiac arrest: a nationwide cohort study using machine learning and SHAP analysis.

OBJECTIVE: In-hospital cardiac arrest (IHCA) presents a critical challenge with low survival rates a...

Leveraging ChatGPT for improved decision-making in interfacility transfers for plastic surgery emergencies based on United States guidelines.

Plastic surgery emergencies-such as burns, facial trauma, and upper extremity injuries-often require...

A Novel Natural Language Processing Model for Triaging Head and Neck Patient Appointments.

OBJECTIVE: Inaccurate patient triage contributes to suboptimal clinical capacity management and dela...

Electrosurgical-laceration and stabilization of two PASCAL devices using artificial intelligence-based procedural planning: a case report.

BACKGROUND: Mitral transcatheter edge-to-edge repair (M-TEER) has been established as a treatment fo...

Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like fal...

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

The use of machine learning algorithms and artificial intelligence in medicine has attracted signifi...

Assessing artificial intelligence-generated patient discharge information for the emergency department: a pilot study.

BACKGROUND: Effective patient discharge information (PDI) in emergency departments (EDs) is vital an...

Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price.

BACKGROUND: Accurate prediction of hospital emergency department (ED) patient visits and acuity leve...

Ambulance route optimization in a mobile ambulance dispatch system using deep neural network (DNN).

The ambulance dispatch system plays a crucial role in emergency medical care by ensuring efficient c...

Advancing emergency upper extremity care: A pilot study of ChatGPT's potential role in diagnosing and managing hand and wrist trauma.

PURPOSE: Hand and wrist trauma is a frequent cause of emergency room (ER) visits. However, hospitals...

Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.

Primary care consultations provide an opportunity for patients and clinicians to assess asthma attac...

The association of trimethylamine N-oxide with diabetic retinopathy Pathology: Insights from network toxicology and molecular docking analysis.

Trimethylamine N-oxide (TMAO), a gut microbiota-derived metabolite, has emerged as a potential contr...

A cohort study of predictors of short-term nonfatal suicidal and self-harm events among individuals with mental health disorders treated in the emergency department.

BACKGROUND: Patients presenting to emergency departments (EDs) for mental health problems have an el...

Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for ...

National Cost Savings From Use of Artificial Intelligence Guided Echocardiography in the Assessment of Intermediate-Risk Patients With Syncope in the Emergency Department.

OBJECTIVES: Our primary objective was to estimate the realistic impact of an artificial intelligence...

Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches.

BACKGROUND: Intracranial aneurysm (IA) is a critical cerebrovascular condition, and nicotine exposur...