AIMC Topic: Resuscitation
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The Role of Tele-Critical Care in Rescue and Resuscitation.
Critical care nursing clinics of North America
Jun 16, 2021
Tele-critical care (TCC) is a health care delivery model that connects medical information, interprofessional teams, patients, and families through advanced pathways, such as audio-video interfaces, machine learning, risk prediction algorithms, smart...
Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation? Using data mining artificial intelligence.
Chinese journal of traumatology = Zhonghua chuang shang za zhi
Nov 24, 2020
PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic injury. Early recognition of patients is an important case of such decision-making with risk of worse pr...
Object Detection During Newborn Resuscitation Activities.
IEEE journal of biomedical and health informatics
Jun 24, 2019
OBJECTIVE: Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the different treatments are not fully explored. The available...
A machine learning approach for predicting urine output after fluid administration.
Computer methods and programs in biomedicine
May 13, 2019
BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis patients after fluid resuscitation.
An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.
Journal of the American Heart Association
Jun 26, 2018
BACKGROUND: In-hospital cardiac arrest is a major burden to public health, which affects patient safety. Although traditional track-and-trigger systems are used to predict cardiac arrest early, they have limitations, with low sensitivity and high fal...
Humans
Decision Support Techniques
Prognosis
Retrospective Studies
Female
Reproducibility of Results
Risk Factors
Predictive Value of Tests
Seoul
Risk Assessment
Aged
Early Diagnosis
Diagnosis, Computer-Assisted
Adult
Vital Signs
Deep Learning
Male
Heart Arrest
Time Factors
Middle Aged
Resuscitation
Inpatients
Effects of Shen-Fu injection on coagulation-fibrinolysis disorders in a porcine model of cardiac arrest.
The American journal of emergency medicine
Dec 12, 2015
OBJECTIVE: The objective of the study is to investigate the effects of Shen-Fu injection (SFI) on coagulation-fibrinolysis disorders in a porcine model of cardiac arrest.
Markers of endothelial damage and coagulation impairment in patients with severe sepsis resuscitated with hydroxyethyl starch 130/0.42 vs Ringer acetate.
Journal of critical care
Dec 8, 2015
PURPOSE: The Scandinavian Starch for Severe Sepsis/Septic Shock (6S) trial showed increased mortality in patients resuscitated with hydroxyethyl starch 130/0.42 (HES) vs Ringer acetate. Different effects of the fluids on the endothelium may have cont...
Exploring treatment effects and fluid resuscitation strategies in septic shock: a deep learning-based causal inference approach.
Scientific reports
May 25, 2025
Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid management. We aimed to compare resuscitation strategies using normal saline, Ringer's lactate, and albumin, and to determine which patient factors are...
Improving Nursing Students' Learning Outcomes in Neonatal Resuscitation: A Quasi-Experimental Study Comparing AI-Assisted Care Plan Learning With Traditional Instruction.
Journal of evaluation in clinical practice
Feb 1, 2025
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resusc...
[Improvement effect of early goal-directed therapy on the prognosis in patients with septic shock].
Zhonghua wei zhong bing ji jiu yi xue
Nov 1, 2015
OBJECTIVE: To evaluate the effect of the early goal-directed therapy (EGDT) on mortality in patients with septic shock, and to analyze the risk factors of mortality.
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