Latest AI and machine learning research in emergency medicine for healthcare professionals.
The widespread use of quaternary ammonium compounds (QACs), intensified by the COVID-19 pandemic, ha...
BACKGROUND AND OBJECTIVE: Overcrowding in emergency departments (EDs) remains a critical challenge i...
Burn inhalation injury (BII) increases mortality and morbidity in burns patients. Accurate bronchosc...
BACKGROUND: Distal radial fractures (DRFs) are some of the most common pediatric injuries, often inv...
BACKGROUND: Access to prostate MRI remains limited due to resource constraints and the need for expe...
PURPOSE: To synthesise the paradigm shift towards precision medicine in orthopaedics, where individu...
The concept of integrating hemodynamic variables to define specific profiles or phenotypes has been ...
OBJECTIVE: This study evaluates the predictive performance of various machine learning (ML) algorith...
AIMS: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and ...
BACKGROUND: Septic shock is a severe and life-threatening complication of sepsis associated with hig...
CONTEXT: Bone fractures are among the most common musculoskeletal injuries and require timely, accur...
Endocrine-disrupting chemicals (EDCs) pose health risks; yet, conventional in vitro and in vivo test...
Global outbreaks of viral infectious diseases underscore the urgent need for low-cost, instrument-fr...
This study evaluated three timing strategies for delivering AI assistance in pathological slide diag...
Delays in stroke diagnosis contribute to long-term disability. Many patients still face barriers to ...
BACKGROUND: Acute care surgery (ACS) involves rapid, high-stakes decisions with limited opportunity ...
Machine learning offers a novel approach to improve surgical triage in pediatric craniomaxillofacial...
OBJECTIVES: Early diagnosis of suspected sepsis is crucial to improve patient survival. Cell populat...
BACKGROUND: Searching online for dental emergency treatment as a non-expert can lead to unreliable g...
Deep learning (DL) has emerged as a powerful tool for modeling unstructured data, thereby improving ...
Septic shock remains one of the most severe complications of infection, defined by circulatory, cell...