№ lp_2_3_60720
Supplemental scientific material presenting patient enrollment flowcharts and statistical performance tables evaluating an artificial intelligence hemorrhage risk algorithm across trauma cohorts stratified by injury type and gender.
Authors: Jonathan D. Stallings; Srinivas Laxminarayan; Chenggang Yu; Adam Kapela; Andrew Frock; Andrew P. Cap; Andrew T. Reisner; Jaques Reifman
Affiliations: United States Army Institute of Surgical Research; Department of Defense Biotechnology High Performance Computing Software Applications Institute; Telemedicine and Advanced Technology Research Center; United States Army Medical Research and Development Command; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.; Massachusetts General Hospital
Institutions involved: Memorial Hermann Life Flight (MHLF); Boston MedFlight (BMF); Massachusetts General Hospital (MGH)
Subject: Artificial intelligence in trauma triage and hemorrhage risk assessment
Document type: Supplemental digital content with flowcharts and statistical tables
Population: Adult trauma patients aged 18–90 years
Total patients analyzed: 1,659 trauma patients (blunt and penetrating injuries)
Key variables: Hemorrhage Risk Index (HRI); hemorrhage risk; likelihood ratio; PRBC transfusion within 24 hours
Injury types analyzed: Blunt injury; Penetrating injury
Stratification variables: Mode of injury; Gender
Statistical measures: 95% confidence intervals
Data sources: MHLF; BMF; MGH trauma cohorts
Content elements: Patient enrollment flowcharts; performance tables (S1–S4)
Price: 8 / 10 USD
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