AIMC Topic: Shock

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Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds.

The journal of trauma and acute care surgery Jun 1, 2021
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome ...
ROC Curve Blood Transfusion Emergency Medical Services Triage Adult Male Risk Assessment Injury Severity Score Models, Cardiovascular Humans Trauma Centers Wounds, Gunshot Artificial Intelligence Female Young Adult Thoracic Injuries Retrospective Studies Feasibility Studies Hemorrhage Shock
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Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock.

Military medicine Jan 25, 2021
INTRODUCTION: The emergence of more complex Prolonged Field Care in austere settings and the need to assist inexperienced providers' ability to treat patients create an urgent need for effective tools to support care. We report on a project to develo...
Military Medicine Machine Learning Triage Shock Humans Military Personnel
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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Humans Machine Learning Databases, Factual Hospital Mortality ROC Curve Data Management Respiratory Insufficiency Intensive Care Units Electronic Health Records Risk Assessment Data Mining Shock
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Validating clinical threshold values for a dashboard view of the compensatory reserve measurement for hemorrhage detection.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Compensatory reserve measurement (CRM) is a novel noninvasive monitoring technology designed to assess physiologic reserve using feature interrogation of arterial pulse waveforms. This study was conducted to validate clinically relevant C...
Data Display Injury Severity Score Vital Signs Blood Volume Hemodynamics User-Computer Interface ROC Curve Hemorrhage Shock Logistic Models Blood Transfusion Sensitivity and Specificity Male Middle Aged Female Risk Factors Adult Humans Machine Learning
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[Advances in the research of application of artificial intelligence in burn field].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Apr 20, 2018
Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface,...
Humans Burns Artificial Intelligence Shock Prognosis
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Effects of tibial intraosseous and intravenous administration of Hextend on time of administration and hemodynamics in a hypovolemic swine model.

American journal of disaster medicine Jan 1, 2016
OBJECTIVE: To determine if there were significant differences between the tibial intraosseous (TIO) and intravenous (IV) administration of Hextend relative to time and in hemodynamics in a hypovolemic model.
Systole Sus scrofa Time Factors Hydroxyethyl Starch Derivatives Plasma Substitutes Treatment Outcome Stroke Volume Shock Arterial Pressure Infusions, Intravenous Swine Random Allocation Tibia Prospective Studies Hemodynamics Cardiac Output Hypovolemia Fluid Therapy Animals Infusions, Intraosseous Heart Rate Male Diastole
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Effects of intravenous, sternal, and humerus intraosseous administration of Hextend on time of administration and hemodynamics in a hypovolemic swine model.

American journal of disaster medicine Jan 1, 2016
OBJECTIVE: To determine if there were significant differences among humerus intraosseous (HIO), sternal intraosseous (SIO), and intravenous (IV) administration of 500 mL Hextend in hemodynamics or administration time in a hypovolemic swine model.
Fluid Therapy Heart Rate Shock Systole Sus scrofa Prospective Studies Random Allocation Animals Cardiac Output Male Disease Models, Animal Stroke Volume Infusions, Intravenous Infusions, Intraosseous Swine Blood Pressure Sternum Hydroxyethyl Starch Derivatives Hemodynamics Diastole Treatment Outcome Plasma Substitutes Humerus Hypovolemia
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