Abstract Background/Objective Current severe traumatic brain injury (TBI) outcome
prediction models calculate the chance of unfavourable outcome after 6 months based on …

The medical complexity and high acuity of patients in the cardiac intensive care unit make
for a unique patient population with high morbidity and mortality. While there are many tools …

Objective Traumatic brain injury (TBI) disproportionately affects low-and middle-income
countries (LMICs). In these settings, accurate patient prognostication is both difficult and …

Objective To develop and validate a radiomic prediction model using initial noncontrast
computed tomography (CT) at admission to predict in-hospital mortality in patients with …

Objective To develop machine learning (ML) models capable of predicting ICU admission
and extended length of stay (LOS) after torso (chest, abdomen, or pelvis) trauma, by using …

Objectives: Neurologic outcome prediction in out-of-hospital cardiac arrest survivors is
highly limited due to the lack of consistent predictors of clinically relevant brain damage. The …

Numerous studies addressing different methods of head injury prognostication have been
published. Unfortunately, these studies often incorporate different head injury …

Background Ensuring rapid and precise mortality prediction in patients with traumatic brain
injury (TBI) at the emergency department (ED) is paramount in patient triage and enhancing …

Background: We aimed to assess the prognostic value of Rotterdam and Marshall scoring
systems to predict in-hospital mortality in patients with traumatic brain injury (TBI). Methods …

The present study aimed to analyze and compare the prognostic performances of the
Revised Trauma Score (RTS), Injury Severity Score (ISS), Shock Index (SI), and Modified …