Abstract
Background Early identification of acute coronary syndrome (ACS) in prehospital settings is crucial for optimal
patient outcomes. However, existing risk assessment tools require laboratory data, making them unsuitable for
prehospital use.…
Abstract
Introduction Ocular melanoma is a type of malignancy affecting the eye. Symptoms can include dark spots near or
around the iris or the mucous membrane of the eyes. Treatments include radiation, laser therapy, and enucleation…
Abstract
Traumatic Brain Injury (TBI) has been increasingly recognized as a leading cause of death and disability worldwide.
Objective To summarize clinical applications of artificial intelligence, including machine learning and deep
learning, in…
Vascular access for initial treatment of adult
emergency patients in the resuscitation room:
short summary of recommendations from the
German national S1 guideline
Abstract
The authors present the case of a man in his 50s who arrived at the ED with palpitations and persistent tachycardia
a month after undergoing catheter ablation (CA) for atrial fibrillation with rapid ventricular response, and a week
after…
Abstract
Background Methamphetamine is one of the most used illicit drugs worldwide that affects different systems of the
body by an immediate and sustained increase of monoamines. Its effect on the central nervous system (CNS) and
neurotoxic…
Abstract
Pediatric emergency departments (PEDs) are high-risk environments where patient injury can result from
delays, unclear diagnoses, and poor communication. Quality improvement (QI) and safety culture initiatives are
increasingly being used…
Abstract
As disasters become more frequent and complex, the integration of artificial intelligence (AI) with crowdsourced
data from social media is emerging as a powerful approach to enhance disaster management and community
resilience. This study…
Abstract
Background Traumatic brain injury (TBI) is a significant health concern, with intracranial haemorrhage (ICH) being
a common complication following injury. The CRASH prediction model plays a crucial role in clinical prognostication
and…