Emergency Medicine

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

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Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention.

Artificial intelligence is rapidly changing our world at an exponential rate and its transformative ...

Artificial intelligence in emergency neuroradiology: Current applications and perspectives.

Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a...

Firearm Injury Risk Prediction Among Children Transported by 9-1-1 Emergency Medical Services: A Machine Learning Analysis.

OBJECTIVE: Among children transported by ambulance across the United States, we used machine learnin...

Smartphone pupillometry with machine learning differentiates ischemic from hemorrhagic stroke: A pilot study.

OBJECTIVES: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage cha...

Toward Dose Prediction at Point of Design.

Human dose prediction (HDP) is a useful tool for compound optimization in preclinical drug discovery...

Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models.

BACKGROUND: Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, with hemorrhagi...

Factors influencing vancomycin trough concentration in burn patients: a single center retrospective study.

OBJECTIVE: To analyze factors influencing the vancomycin trough concentration in burn patients to pr...

Off-console automated artificial intelligence enhanced workflow enables improved emergency department CT capacity.

PURPOSE: Increasing CT capacity to keep pace with rising ED demand is critical. The conventional pro...

Cyto-Safe: A Machine Learning Tool for Early Identification of Cytotoxic Compounds in Drug Discovery.

Cytotoxicity is essential in drug discovery, enabling early evaluation of toxic compounds during scr...

Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation.

BACKGROUND: Percutaneous extracorporeal membrane oxygenation (ECMO) is administered to pediatric pat...

AI frontiers in emergency care: the next evolution of nursing interventions.

This scoping review explores the utilization of artificial intelligence in emergency nursing, assess...

Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image Data.

BACKGROUND: Machine learning (ML) techniques are widely employed across various domains to achieve a...

An AI-Driven Framework for Detecting Bone Fractures in Orthopedic Therapy.

This study presents an advanced artificial intelligence-driven framework designed to enhance the spe...

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.

INTRODUCTION: Paediatric fractures are common but can be easily missed on radiography leading to pot...

A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study.

BACKGROUND: Patients with severe dengue who develop severe respiratory failure requiring mechanical ...

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