Latest AI and machine learning research in emergency medicine for healthcare professionals.
Precise patient positioning is paramount in radiosurgery to ensure the accurate targeting of tumors ...
BACKGROUND: Emergency Departments (EDs) are critical in providing immediate care, often under pressu...
OBJECTIVES: This study evaluated the effect of enhancing a GPT-4 model with retrieval-augmented gene...
PURPOSE: B-lines in lung ultrasound have been a critical clue for detecting pulmonary edema. However...
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) calculator, a widely use...
BACKGROUND: Early treatment and prevention are the keys to reducing the mortality of VTE in patients...
OBJECTIVES: While ambulance transport decisions guided by artificial intelligence (AI) could be usef...
This study aims to address the critical issue of emergency department (ED) overcrowding, which negat...
Over the past decades, exposure to per- and polyfluoroalkyl substances (PFAS), a group of synthetic ...
UNLABELLED: The escalating therapeutic use of methadone has coincided with an increase in accidental...
The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, p...
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant...
OBJECTIVE: Artificial intelligence (AI) offers opportunities for managing the complexities of clinic...
Chemical space networks (CSNs) are a new effective strategy for detecting latent chemical patterns i...
BACKGROUND: Vertebral compression fractures (VCFs) are prevalent in the elderly, often caused by ost...
BACKGROUND: The integration of artificial intelligence (AI) systems for automating medical history t...
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART)...
The lengthy and costly drug discovery process is transformed by deep learning, a subfield of artific...
In recent years, with the increasing attention from researchers towards medical imaging, deep learni...
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grad...
OBJECTIVE: Artificial intelligence (AI)-based clinical decision support (CDS) has the potential to a...