AIMC Topic: Emergency Service, Hospital

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Using machine learning tools to predict outcomes for emergency department intensive care unit patients.

Scientific reports Dec 1, 2020
The number of critically ill patients has increased globally along with the rise in emergency visits. Mortality prediction for critical patients is vital for emergency care, which affects the distribution of emergency resources. Traditional scoring s...
Middle Aged ROC Curve Treatment Outcome Area Under Curve Emergency Service, Hospital Intensive Care Units Female Aged Male Models, Biological Humans Machine Learning
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Transfer learning with chest X-rays for ER patient classification.

Scientific reports Dec 1, 2020
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We conducted a retrospective ...
Respiratory Distress Syndrome Humans Emergency Service, Hospital Retrospective Studies Radiography, Thoracic Deep Learning Patients Disease
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Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER.

CNS neuroscience & therapeutics Nov 28, 2020
AIMS: Coagulation abnormality is one of the primary concerns for patients with spontaneous intracerebral hemorrhage admitted to ER. Conventional laboratory indicators require hours for coagulopathy diagnosis, which brings difficulties for appropriate...
Machine Learning Algorithms Retrospective Studies Female Aged Humans Cerebral Hemorrhage Adult Predictive Value of Tests Male Emergency Service, Hospital Middle Aged Blood Coagulation Disorders Cohort Studies
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Machine Learning and Improved Quality Metrics in Acute Intracranial Hemorrhage by Noncontrast Computed Tomography.

Current problems in diagnostic radiology Nov 15, 2020
OBJECTIVE: The timely reporting of critical results in radiology is paramount to improved patient outcomes. Artificial intelligence has the ability to improve quality by optimizing clinical radiology workflows. We sought to determine the impact of a ...
Artificial Intelligence Machine Learning Retrospective Studies Tomography, X-Ray Computed Humans Emergency Service, Hospital Benchmarking Intracranial Hemorrhages
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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing.

Journal of medical Internet research Oct 28, 2020
BACKGROUND: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and medicine, researchers are only ...
Middle Aged Treatment Outcome Natural Language Processing Emergency Service, Hospital Coronavirus Infections Hospitalization Aged Adult Male Spain Betacoronavirus Pneumonia, Viral Machine Learning Pandemics COVID-19 Prognosis Retrospective Studies Intensive Care Units Electronic Health Records Female SARS-CoV-2 Humans
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The niche of artificial intelligence in trauma and emergency medicine.

The American journal of emergency medicine Oct 27, 2020
Artificial Intelligence Triage Emergency Service, Hospital Traumatology Emergency Medicine Humans
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Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19.

Anaesthesia, critical care & pain medicine Oct 21, 2020
Robotics Emergency Service, Hospital Critical Care COVID-19 Prognosis SARS-CoV-2 Decision Support Systems, Clinical Humans Artificial Intelligence Machine Learning Pandemics
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Sex Factors Tomography, X-Ray Computed Proportional Hazards Models Intensive Care Units Humans Female Comorbidity Radiography, Thoracic Artificial Intelligence SARS-CoV-2 Mortality Severity of Illness Index COVID-19 Hospitalization Deep Learning Emergency Service, Hospital Prognosis Aged Age Factors Italy Retrospective Studies Pulmonary Disease, Chronic Obstructive Radiography Neurodegenerative Diseases Male Coronary Artery Disease Middle Aged
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Supervised classification techniques for prediction of mortality in adult patients with sepsis.

The American journal of emergency medicine Sep 12, 2020
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions.
Sepsis Hospital Mortality Decision Making Predictive Value of Tests Emergency Service, Hospital Hospitals, University Colombia Female Organ Dysfunction Scores Humans Aged Artificial Intelligence Male Prospective Studies Middle Aged Prognosis
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Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

Scandinavian journal of trauma, resuscitation and emergency medicine Sep 11, 2020
BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in ...
Humans Artificial Intelligence Algorithms Female Aged Emergency Service, Hospital Middle Aged Young Adult Myocardial Infarction Risk Assessment Adult Chest Pain Models, Statistical Sensitivity and Specificity Mortality Taiwan Male
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