[HTML][HTML] Surgical data science–from concepts toward clinical translation

L Maier-Hein, M Eisenmann, D Sarikaya, K März… - Medical image …, 2022 - Elsevier
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Association between time to source control in sepsis and 90-day mortality

KM Reitz, J Kennedy, SR Li, R Handzel… - JAMA …, 2022 - jamanetwork.com
Importance Rapid source control is recommended to improve patient outcomes in sepsis.
Yet there are few data to guide how rapidly source control is required. Objective To …

[HTML][HTML] The impact of trauma systems on patient outcomes

J Choi, G Carlos, AK Nassar, LM Knowlton… - Current problems in …, 2021 - ncbi.nlm.nih.gov
Trauma is a pressing public health epidemic. In 2016 alone, trauma accounted for 29.2
million emergency department visits and 39.5 million physician office visits in the United …

Reducing firearm injury and death in the United States

JV Sakran, N Lunardi - Advances in surgery, 2022 - advancessurgery.com
Internationally, there were an estimated 251,000 firearm deaths in 2016. The
preponderance of these deaths was among civilians unrelated to armed conflict. More than …

Association between adherence to evidence-based practices for treatment of patients with traumatic rib fractures and mortality rates among US trauma centers

CJ Tignanelli, A Rix, LM Napolitano… - JAMA network …, 2020 - jamanetwork.com
Importance Rib fractures are sustained by nearly 15% of patients who experience trauma
and are associated with significant morbidity and mortality. Evidence-based practice (EBP) …

Injury patterns and hospital admission after trauma among people experiencing homelessness

CM Silver, AC Thomas, S Reddy, GA Sullivan… - JAMA network …, 2023 - jamanetwork.com
Importance Traumatic injury is a major cause of morbidity for people experiencing
homelessness (PEH). However, injury patterns and subsequent hospitalization among PEH …

Machine learning for predicting in-hospital mortality after traumatic brain injury in both high-income and low-and middle-income countries

PI Warman, A Seas, N Satyadev, SM Adil, BJ Kolls… - …, 2022 - journals.lww.com
BACKGROUND: Machine learning (ML) holds promise as a tool to guide clinical decision
making by predicting in-hospital mortality for patients with traumatic brain injury (TBI) …

Suicide versus homicide firearm injury patterns on trauma systems in a study of the National Trauma Data Bank (NTDB)

CW Foote, XL Doan, C Vanier, B Cruz, B Sarani… - Scientific reports, 2022 - nature.com
Firearm related mortality in the USA surpassed all other developed countries. This study
hypothesizes that injury patterns, weapon type, and mortality differ between suicide groups …

The Dutch nationwide trauma registry: the value of capturing all acute trauma admissions

MLS Driessen, LM Sturms, FW Bloemers, HJ ten Duis… - Injury, 2020 - Elsevier
Introduction Twenty years ago the Dutch trauma care system was reformed by the
designating 11 level one Regional trauma centres (RTCs) to organise trauma care. The …

Comparative effectiveness of intracranial pressure monitoring vs no monitoring in severe penetrating brain injury management

A Mansour, S Rowell, PP Powla, P Horowitz… - JAMA Network …, 2023 - jamanetwork.com
Importance Civilian penetrating brain injury (PBI) is associated with high mortality. However,
scant literature is available to guide neurocritical care monitoring and management of PBI …