AIMC Topic: Triage

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Promoting head CT exams in the emergency department triage using a machine learning model.

Neuroradiology Oct 10, 2019
PURPOSE: In this study, we aimed to develop a novel prediction model to identify patients in need of a non-contrast head CT exam during emergency department (ED) triage.
Middle Aged Triage Emergency Service, Hospital Head Aged, 80 and over Adult Sensitivity and Specificity Male Humans Machine Learning Tomography, X-Ray Computed Female Aged
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Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review.

Journal of neurointerventional surgery Oct 8, 2019
BACKGROUND AND PURPOSE: Acute stroke caused by large vessel occlusions (LVOs) requires emergent detection and treatment by endovascular thrombectomy. However, radiologic LVO detection and treatment is subject to variable delays and human expertise, r...
Stroke Brain Ischemia Thrombectomy Arterial Occlusive Diseases Humans Artificial Intelligence Triage Emergency Service, Hospital
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A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Radiology Aug 6, 2019
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have not addressed limitations in radiologist specificity or efficiency. Purpose To develop a DL model to triage a portion of mammograms as cancer free, i...
Retrospective Studies Female Aged Aged, 80 and over Humans Computer Simulation Registries Breast Image Interpretation, Computer-Assisted Deep Learning Adult Cohort Studies Breast Neoplasms Mammography Middle Aged Triage
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Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Cerebrovascular diseases (Basel, Switzerland) Jun 19, 2019
Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefit from mechanical thrombectomy and those more likely to have good outcomes and ranges from 0 (no collaterals) to 3 (complete collaterals). In this stu...
Collateral Circulation Predictive Value of Tests Triage Cerebrovascular Circulation Middle Cerebral Artery Patient Selection Radiographic Image Interpretation, Computer-Assisted Automation Humans Computed Tomography Angiography Stroke Blood Flow Velocity Machine Learning Cerebral Angiography Thrombectomy Prognosis Clinical Decision-Making
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Prediction of emergency department patient disposition based on natural language processing of triage notes.

International journal of medical informatics Jun 13, 2019
BACKGROUND: Nursing triage documentation is the first free-form text data created at the start of an emergency department (ED) visit. These 1-3 unstructured sentences reflect the clinical impression of an experienced nurse and are key in gauging a pa...
Retrospective Studies Hospitalization Triage Natural Language Processing Humans Neural Networks, Computer Emergency Service, Hospital Medical Records
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Artificial Intelligence in Clinical Neurosciences.

World neurosurgery Apr 18, 2019
Biometric Identification Neurosciences Humans Neural Networks, Computer Artificial Intelligence Phenotype Computer Systems Triage Delirium Neuroimaging
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Chief complaint classification with recurrent neural networks.

Journal of biomedical informatics Mar 26, 2019
Syndromic surveillance detects and monitors individual and population health indicators through sources such as emergency department records. Automated classification of these records can improve outbreak detection speed and diagnosis accuracy. Curre...
Neural Networks, Computer Algorithms Population Surveillance Triage Humans
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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...
Radiometry Cytokinesis Middle Aged Triage Robotics Humans Flow Cytometry Automation Female Calibration Adult Micronucleus Tests Male Dose-Response Relationship, Radiation
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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.
Adolescent Child, Preschool Child United States Predictive Value of Tests Triage Emergency Service, Hospital Critical Care Prognosis Quality Improvement Female Critical Care Outcomes Humans Hospitalization Models, Educational Machine Learning Male Child, Hospitalized
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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...
Adolescent Female Humans Child, Preschool Logistic Models Hospitalization Machine Learning Child Male Triage Retrospective Studies ROC Curve Risk Assessment Emergency Service, Hospital Status Asthmaticus
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