Latest AI and machine learning research in emergency medicine for healthcare professionals.
INTRODUCTION: Natural language processing (NLP) uses various computational methods to analyse and un...
Heat shock proteins (HSPs) are crucial cellular stress proteins that react to environmental cues, en...
OBJECTIVE: Intertrochanteric fracture of the femur is a common fracture in older people. Due to the ...
Missed fractures are a costly healthcare issue, not only negatively impacting patient lives, leading...
BACKGROUND/AIM: Femoral neck fracture (FNF) seriously impact the health of the elderly and affect th...
OBJECTIVE: The manual recording of electronic health records (EHRs) by clinicians in the emergency d...
The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catas...
The Toxicological Prioritization Index (ToxPi) is a visual analysis and decision support tool for di...
INTRODUCTION: Artificial intelligence (AI) technology has made rapid progress for disease diagnosis ...
A 40-year-old woman presented with mediastinitis, necrotizing pancreatitis, and severe acute respira...
Less invasive fixation techniques, such as intramedullary nailing (IMN) and minimally invasive percu...
The ever-increasing number of chemicals has raised public concerns due to their adverse effects on h...
Bone ranks as the third most frequent tissue affected by cancer metastases, following the lung and l...
OBJECTIVE: To assess Australian and New Zealand emergency clinicians' attitudes towards the use of a...
The market for illicit drugs has been reshaped by the emergence of more than 1100 new psychoactive s...
BACKGROUND: This systematic review and meta-analysis were conducted to objectively evaluate the evid...
Artificial intelligence is paving the way in contemporary medical advances, with the potential to re...
INTRODUCTION: Primary intracerebral hemorrhage (ICH) is a stroke subtype with high morbidity and mor...
OBJECTIVE: The integration of artificial intelligence (AI) with modern healthcare has become increas...
INTRODUCTION: the ability of the care team to reliably predict postoperative risk is essential for i...
Mortality rate is considered as the most important outcome measure for assessing the severity of bur...