Latest AI and machine learning research in emergency medicine for healthcare professionals.
Advances in artificial intelligence (AI) technologies have not been widely integrated into simulatio...
BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possi...
BACKGROUND: Deep learning (DL) has been shown to be successful in interpreting radiographs and aidin...
This study aimed to develop an interpretable machine learning model to predict methylene blue (MB) r...
PURPOSE: Gastrointestinal (GI) dilatations are frequently observed in radiographs of pediatric patie...
BACKGROUND: In recent years, air pollution has been demonstrated to be associated with the occurrenc...
BACKGROUND: In-hospital cardiac arrest (IHCA) is a severe and sudden medical emergency that is chara...
Accurate preoperative planning in revision hip arthroplasty is crucial for achieving successful outc...
Nitroaromatic compounds (NAs) are widely used in industrial applications but pose significant genoto...
A large number of mycotoxins and related fungal metabolites have not been assessed in terms of their...
Radiocontrast media is a major cause of nephrotoxic acute kidney injury(AKI). Contrast-enhanced CT(C...
BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged pa...
The functional impairment resulting from CPTSD symptoms is enduring and far-reaching. Existing rese...
Unplanned readmission within 30 days is a major challenge both globally and in South Africa. The aim...
BACKGROUND: To develop an artificial intelligence system that can accurately identify acute non-trau...
BACKGROUND: Evidence is limited on whether patients with advanced pulmonary carcinoid (APC) benefit ...
Predicting major bleeding in nonvalvular atrial fibrillation (AF) patients on direct oral anticoagul...
Phagocytosis is a critical component of innate immunity that helps the body defend itself against in...
Blunt head trauma is a common occurrence in forensic practice. Interpreting the origin of craniocere...
A paradigm of chemical risk assessment is continuously extending from focusing on 'single substances...
The COVID-19 pandemic brought several diagnostic challenges, including the post-infectious sequelae ...