Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly
employed in the research of trauma in various aspects. Hemorrhage is the most common …

Blood transfusion is a routine medical procedure in hospitals with over 2 million blood
products transfused in the UK every year at a cost of over£ 300 million and a median …

The military environment generates a large amount of data of great importance, which
makes necessary the use of machine learning for its processing. Its ability to learn and …

Background Providing optimal care for trauma, the leading cause of death for young adults,
remains a challenge eg, due to field triage limitations in assessing a patient's condition and …

Our scoping review provides a comprehensive analysis of the landscape of artificial
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …

In the coming years, artificial intelligence (AI) and machine learning will likely give rise to
profound changes in the field of emergency medicine, and medicine more broadly. This …

A deep neural network-based artificial intelligence (AI) model was assessed for its utility in
predicting vital signs of hemorrhage patients and optimizing the management of fluid …

Purpose Early administration and protocolization of massive hemorrhage protocols (MHP)
has been associated with decreases in mortality, multiorgan system failure, and number of …

Background Artificial intelligence (AI) has transformative potential to support prehospital
clinicians, emergency physicians, and trauma surgeons in acute traumatic injury care. This …

Objective Comparison of the predictive ability of various machine learning algorithms (MLA)
versus traditional prediction scales (TPS) for massive hemorrhage (MH) in patients with …