Latest AI and machine learning research in emergency medicine for healthcare professionals.
Large language models (LLMs) have been deployed in diverse fields, and the potential for their appli...
PURPOSE: To evaluate the diagnostic performance of a robotically aligned optical coherence tomograph...
Artificial intelligence (AI) encompasses the advancement of computers and robots, enabling them to s...
OBJECTIVES: To review studies on deep learning (DL) models for classification, detection, and segmen...
OBJECTIVE: To investigate the effectiveness of real-time tracking and virtual reality technology（RTV...
BACKGROUND: Identification of pediatric trauma patients at the highest risk for death may promote op...
Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for ca...
Acute coronary syndrome (ACS) is an acute heart disease that often evolves rapidly. In ACS patients ...
Patient portal messages represent a unique source of clinical data due to how they represent the voi...
Blood pressure variability (BPV) plays a critical role in vascular diseases, particularly in acute i...
The integration of Remote Patient Monitoring (RPM) data into risk stratification models has emerged ...
BACKGROUND: Overcrowding in Emergency departments adversely impacts efficiency, patient outcomes, an...
Green toxicology is marching chemistry into the 21st century. This emerging framework will transform...
Background Patients have the highest risk of subsequent fractures in the first few years after an in...
Purpose To compare the effectiveness of weak supervision (ie, with examination-level labels only) an...
BACKGROUND: Chest X-rays (CXR) are widely used to facilitate the diagnosis and treatment of critical...
Thrombolytic therapy is essential for acute ischemic stroke (AIS) management but poses a risk of he...
The validation of new approach methods (NAMs) in toxicology faces significant challenges, including ...
INTRODUCTION: This study examines triage judgments in emergency settings and compares the outcomes o...
Airway procedures in life-threatening situations are vital for saving lives. Video laryngoscopy (VL)...
OBJECTIVE: To review the current applications of machine learning in orthopaedic trauma and anticipa...