Latest AI and machine learning research in emergency medicine for healthcare professionals.
Environmental contamination by dioxins and polycyclic aromatic hydrocarbons threatens wildlife healt...
BACKGROUND AND OBJECTIVES: Identifying predictors of shunt failure in acute care settings is challen...
BACKGROUND AND STUDY AIMS: In 2013, Balain et al. proposed a scoring system, the Oswestry Spinal Ris...
Tranexamic acid (TXA) reduces mortality in patients with trauma; however, optimal patient selection ...
Biodosimetry plays a crucial role in radiation emergency preparedness and response by enabling effic...
BACKGROUND: Artificial intelligence (AI) offers transformative potential for clinical care, yet its ...
BACKGROUND: Delayed cerebral ischemia (DCI) remains a major morbidity and mortality problem followin...
INTRODUCTION: Hemorrhagic shock is the most common preventable cause of death in trauma patients. Ea...
OBJECTIVE: To comparatively evaluate the clinical responses of three digital platforms (ChatGPT 5.2,...
Limited proteolysis coupled to mass spectrometry (LiP-MS) probes protein conformational dynamics, bu...
The Kingdom of Saudi Arabia has been making significant progress as part of its Vision 2030 to diver...
PURPOSE: Chest X-rays (CXRs) are essential in trauma care but have limited sensitivity for rib fract...
Understanding the complex chemistry of organic materials under dynamic compression is important for ...
Heat shock protein 90 (Hsp90) is a key cancer drug target, yet the highly flexible N-terminal ATP-bi...
Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and...
BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...
OBJECTIVES: To describe the structured process of threshold optimisation for a commercially availabl...
Systemic barriers, including language, navigation complexity, and long specialist wait-times, result...
BACKGROUND: Mechanical thrombectomy (MT) improves outcomes in acute ischemic stroke (AIS) but often ...
Chronic and subchronic toxicity are very important endpoints for evaluating the long-term and medium...
Develop and evaluate whether a model trained to detect the physiological signature of hemorrhage in ...