Latest AI and machine learning research in emergency medicine for healthcare professionals.
In recent years, machine learning and artificial intelligence approaches have been increasingly applied in the context of toxicological risk assessment. Many published overview, review, and comment papers discuss advantages, disadvantages, success stories, and open challenges for the application of machine learning models in toxicology. Machine learning methods using information from in vitro expe...
BACKGROUND: Postoperative delirium (POD) is a common and severe complication in older adult patients with hip fracture, yet its pathogenesis remains unclear. OBJECTIVE: This study aimed to develop a predictive model for POD following hemiarthroplasty in older adult patients by integrating high-throughput targeted metabolomics and machine learning. METHODS: In this prospective multicenter cohort st...
More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of expert medical computin...
BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, an...
BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify...
Accurate forecasting of daily arrivals in Emergency Departments (ED) is crucial for healthcare providers. This study incorporates a variety of factors...
MOTIVATION: Zebrafish embryo assays are increasingly recognized as a robust and scalable model for developmental toxicity screening due to embryos' op...
Cardiogenic shock (CS) remains the leading cause of mortality in modern cardiac intensive care unit, most often precipitated by acute or chronically d...
BACKGROUND: Early identification of patients at risk for heart failure (HF) hospitalization in the emergency department (ED) is challenging because de...
BACKGROUND: Basic life support (BLS) skills are the core competencies of healthcare professionals in responding to emergency situations. Traditional m...
Kounis syndrome-acute coronary events triggered by allergic or hypersensitivity reactions-remains underrecognized across emergency and cardiology sett...
Uterine corpus endometrial carcinomas (UCEC) are common cancers of the female reproductive system linked to environmental chemicals. Thiabendazole (TB...
Current methods for determining the neurotoxic potential of (agro)chemicals are not comprehensive enough, as is suggested by the increased incidence o...
Ureteral stents, introduced in 1960s, are essential for managing upper urinary tract pathologies, maintaining ureteral patency in conditions like obst...
Organoids are 3D in vitro models derived from human stem cells, capable of simulating the structure, function, and intercellular interactions of human...
In the intelligence information sharing era, social media paved a way to share information around the world without any moratorium, which helps more i...
Persistent toxic substances (PTS), including heavy metals, persistent organic pollutants (POPs), and persistent, mobile, and toxic/very persistent and...
BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechani...
Hip fractures represent a significant global health burden, with high mortality rates. Accurate prediction of 30-d postoperative mortality is instrume...