AIMC Topic: Emergency Service, Hospital
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Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis.
Clinical and translational science
May 2, 2021
Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad-spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two-center ...
Task-sharing with artificial intelligence: a design hypothesis for an Emergency Unit in sub-Saharan Africa.
The Pan African medical journal
Apr 20, 2021
In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trained providers. One model to increase the number of providers is to task-share: roles traditionally filled by clinicians are shared with lay workers wh...
Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.
PloS one
Apr 1, 2021
BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has affected millions of people across the globe. It is associated with a high mortality rate and has created a global crisis by straining medical resources worldwide.
Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classification.
Scandinavian journal of trauma, resuscitation and emergency medicine
Mar 31, 2021
OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators in order to monitor both the epidemic growth and potential public health consequences of preventative measures such as lockdo...
Automated remote decision-making algorithm as a primary triage system using machine learning techniques.
Physiological measurement
Mar 11, 2021
OBJECTIVE: An objective and convenient primary triage procedure is needed for prioritizing patients who need help in mass casualty incident (MCI) situations, where there is a lack of medical staff and available resources. This study aimed to develop ...
Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients.
Journal of the American College of Surgeons
Mar 8, 2021
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the ...
Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach.
The western journal of emergency medicine
Mar 4, 2021
INTRODUCTION: Within a few months coronavirus disease 2019 (COVID-19) evolved into a pandemic causing millions of cases worldwide, but it remains challenging to diagnose the disease in a timely fashion in the emergency department (ED). In this study ...
Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation.
JAMA network open
Mar 1, 2021
IMPORTANCE: Before the widespread implementation of robotic systems to provide patient care during the COVID-19 pandemic occurs, it is important to understand the acceptability of these systems among patients and the economic consequences associated ...
Assessment of Thoracic Pain Using Machine Learning: A Case Study from Baja California, Mexico.
International journal of environmental research and public health
Feb 23, 2021
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders, and the most deadly: Cardiovascular diseases. Due to the limited space in the emergency department, it is important to identify when thoracic pain is...
Early risk assessment for COVID-19 patients from emergency department data using machine learning.
Scientific reports
Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
Respiration, Artificial
Disease Progression
Hospitals
Hospital Mortality
ROC Curve
Emergency Service, Hospital
United Kingdom
London
Aged, 80 and over
Adult
Male
Middle Aged
Risk Assessment
SARS-CoV-2
Risk Factors
Hospitalization
Aged
Machine Learning
Pandemics
COVID-19
Humans
Retrospective Studies
Female
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