Predicting blood transfusion following traumatic injury using machine learning models: A systematic review and narrative synthesis.

Background: Hemorrhage is a leading cause of preventable death in trauma. Accurately predicting a patient's blood transfusion requirement is essential but can be difficult. Machine learning (ML) is a field of artificial intelligence that is emerging within medicine for accurate prediction modeling.

Surgical Skills Workshops Should Be a Part of the United Kingdom Undergraduate Medical Curriculum.

Introduction:  Medical students across the United Kingdom (UK) report poor satisfaction with surgical teaching. The Surgical Skills Day (SSD) begins to address this by exposing medical students to surgery through an easily accessible one-day practical workshop. This study shows how the SSD encourages undergraduate engagement in surgery.