Streamlining management in thoracic trauma: radiomics- and AI-based assessment of patient risks.

Background: In blunt chest trauma, patient management is challenging because clinical guidelines miss tools for risk assessment. No clinical scale reliably measures the severity of cases and the chance of complications.

Aim: The objective of the study was to optimize the management of patients with blunt chest trauma by creating models prognosticating the transfer to the intensive care unit and in-hospital length of stay (LOS).

Students' perspectives on their early dropout of medical school.

Background: Enrolling in medical school launches a more demanding and stressful way of life for newly admitted students. Some students will struggle academically and will ultimately drop out from medical school. The study aims to understand the perspectives that dropped-out students have and their opinion regarding possible preventative solutions.