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 …

Importance Quantifying injury severity is integral to trauma care benchmarking, decision-
making, and research, yet the most prevalent metric to quantify injury severity—Injury …

Background Precise models are necessary to estimate mortality risk following traumatic
injury to inform clinical decision making or quantify hospital performance. The Trauma and …

Background Physical trauma–related mortality places a heavy burden on society. Estimating
the mortality risk in physical trauma patients is crucial to enhance treatment efficiency and …

Background Given the huge impact of trauma on hospital systems around the world, several
attempts have been made to develop predictive models for the outcomes of trauma victims …

Background Acute limb ischemia (ALI) is a morbid and deadly diagnosis. However, existing
epidemiologic studies describing ALI predate the introduction of the Affordable Care Act in …

Introduction and objective. Head and neck injuries are a heterogeneous group in terms of
both clinical course and prognosis. For years, there have been attempts to create an ideal …

BACKGROUND Administrative data are a powerful tool for population-level trauma research
but lack the trauma-specific diagnostic and injury severity codes needed for risk-adjusted …

Background Acute limb ischemia (ALI) carries a 15% to 20% risk of combined death or
amputation at 30 days and 50% to 60% at 1 year. Percutaneous mechanical thrombectomy …

Financial costs are a major concern in the healthcare system, with medical billing and
coding playing a key role in facilitating transactions and financing procedures. Billing …