Emergency Medicine

External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.

PURPOSE: This study aims to validate the performance of an award-winning machine learning (ML) model...

Dual-Site Targeting by Peptide Inhibitors of the N-Terminal Domain of Hsp90: Mechanism and Design.

Heat shock protein 90 (Hsp90) is a pivotal molecular chaperone crucial in the maturation of client p...

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

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...

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...

The impact of partner interaction on brief social buffering in adolescent female rats as analyzed by deep learning-based object detection algorithms.

Social buffering is a phenomenon whereby the stress response of anyone exposed to a distressing stim...

The role of AI in emergency department triage: An integrative systematic review.

BACKGROUND: Overcrowding in emergency departments (EDs) leads to delayed treatments, poor patient ou...

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...

Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties.

Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an e...

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...

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...

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...

A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assess...

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...

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...