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Triage

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Automated Triage Radiation Biodosimetry: Integrating Imaging Flow Cytometry with High-Throughput Robotics to Perform the Cytokinesis-Block Micronucleus Assay.

Radiation research Feb 19, 2019
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method for radiation biodosimetry. The assay is typically performed using microscopy, which is labor intensive, time consuming and impractical after a large...
Humans Female Adult Male Middle Aged Calibration Micronucleus Tests Dose-Response Relationship, Radiation Radiometry Cytokinesis Triage Robotics Flow Cytometry Automation
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Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

JAMA network open Jan 4, 2019
IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about their utility in emergency department (ED) triage.
Quality Improvement Critical Care Outcomes Models, Educational Male Child, Hospitalized Adolescent Machine Learning Child, Preschool Prognosis Child Female Triage Humans Hospitalization United States Emergency Service, Hospital Predictive Value of Tests Critical Care
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A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Nov 29, 2018
OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospitalization. Earlier identification of need for hospital-level care could triage patients more efficiently to high- or low-resource ED tracks. Existing t...
Humans Machine Learning Retrospective Studies Adolescent Child, Preschool Child ROC Curve Logistic Models Female Hospitalization Male Risk Assessment Triage Emergency Service, Hospital Status Asthmaticus
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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Retrospective Studies Female Aged Aged, 80 and over Middle Aged Bayes Theorem Adolescent Patient Admission ROC Curve Humans New South Wales Adult Logistic Models Machine Learning Male Triage Forecasting Area Under Curve Emergency Service, Hospital
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Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?

Radiology Nov 13, 2018
Deep Learning Triage Radiography Neural Networks, Computer
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Safety of patient-facing digital symptom checkers.

Lancet (London, England) Nov 6, 2018
Consumer Health Informatics Safety Quality of Health Care Information Seeking Behavior Consumer Health Information Humans Self Care Diagnostic Errors Triage Artificial Intelligence Algorithms
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A data-driven artificial intelligence model for remote triage in the prehospital environment.

PloS one Oct 23, 2018
In a mass casualty incident, the factors that determine the survival rate of injured patients are diverse, but one of the key factors is the time for triage. Additionally, the main factor that determines the time of triage is the number of medical pe...
Survival Analysis Humans Consciousness Machine Learning False Positive Reactions Middle Aged Neural Networks, Computer Hospitals Data Analysis Glasgow Coma Scale Artificial Intelligence ROC Curve Algorithms Triage
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Emergency Service, Hospital Risk Female Emergency Medicine Reproducibility of Results Aged Adult Male Humans Hospital Mortality Databases, Factual ROC Curve Retrospective Studies Middle Aged Republic of Korea Triage Severity of Illness Index Area Under Curve Deep Learning Cohort Studies
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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.

Lancet (London, England) Oct 11, 2018
BACKGROUND: Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. We aimed to develop and validate a set of deep learning algorithms for automated detection of the following key finding...
Humans Tomography, X-Ray Computed Deep Learning Brain Injuries Algorithms Retrospective Studies Intracranial Hemorrhages Trauma Severity Indices Triage Skull Fractures Datasets as Topic Head
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Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays.

The journal of applied laboratory medicine Sep 17, 2018
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocardial infarction, are not standardized across cTnI assays. We compared 3 point-of-care (POC) and 1 central laboratory contemporary cTnI assays against ...
Biological Assay Point-of-Care Systems Humans Laboratories Triage Biomarkers Troponin I Myocardial Infarction Troponin T Female Male
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