AIMC Topic: Intensive Care Units

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Are We Ready for Video Recognition and Computer Vision in the Intensive Care Unit? A Survey.

Applied clinical informatics Feb 24, 2021
OBJECTIVE: Video recording and video recognition (VR) with computer vision have become widely used in many aspects of modern life. Hospitals have employed VR technology for security purposes, however, despite the growing number of studies showing the...
Humans Intensive Care Units Artificial Intelligence Adult Surveys and Questionnaires Critical Care Computers
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Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission.

Frontiers in immunology Feb 22, 2021
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) usually includes multiorgan dysfunction and subsequent death. Owing to the heterogeneity, complexity, and unpredictability of the disease progression,...
Time Factors Hospital Mortality ROC Curve Computational Biology Reproducibility of Results Chromosome Mapping Gene Expression Profiling Transcriptome Humans Databases, Genetic Sepsis Machine Learning Leukocytes Biomarkers Critical Care Intensive Care Units Disease Susceptibility
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A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients.

Sensors (Basel, Switzerland) Feb 21, 2021
Infrared thermography for camera-based skin temperature measurement is increasingly used in medical practice, e.g., to detect fevers and infections, such as recently in the COVID-19 pandemic. This contactless method is a promising technology to conti...
Intensive Care Units Deep Learning Vital Signs Thermography Humans
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Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables.

International journal of medical sciences Feb 18, 2021
This study aimed to develop a machine learning algorithm to identify key clinical measures to triage patients more effectively to general admission versus intensive care unit (ICU) admission and to predict mortality in COVID-19 pandemic. This retro...
Sensitivity and Specificity Male Middle Aged New York Intensive Care Units Humans Female Machine Learning Aged COVID-19 Aged, 80 and over Retrospective Studies
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From predictions to prescriptions: A data-driven response to COVID-19.

Health care management science Feb 15, 2021
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to s...
COVID-19 Drug Treatment Policy Making Middle Aged Risk Assessment Models, Statistical Ventilators, Mechanical Forecasting Databases, Factual Prognosis Intensive Care Units Female SARS-CoV-2 Aged Male Humans Machine Learning Pandemics COVID-19
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DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.

Artificial intelligence in medicine Feb 13, 2021
Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early prediction of sepsis can improve situational awareness among clinicians and fac...
Humans Artificial Intelligence Intensive Care Units Sepsis Area Under Curve Critical Care
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil.

Scientific reports Feb 8, 2021
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective allocation of healthcare resources. An accurate prognostic assessment is necessary to improve survival of patients, especially in developing countrie...
Humans Machine Learning Female SARS-CoV-2 Aged Aged, 80 and over COVID-19 Algorithms Prognosis Intensive Care Units Computational Biology C-Reactive Protein Lymphocyte Count Respiration, Artificial Length of Stay Cohort Studies Reverse Transcriptase Polymerase Chain Reaction Adult Male Middle Aged Brazil
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Scientific reports Feb 5, 2021
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic m...
Hospitalization Aged Aged, 80 and over Male Prognosis Intensive Care Units Female Risk Factors Hypertension Body Mass Index Age Factors Critical Care Sex Factors Middle Aged Respiration, Artificial Comorbidity ROC Curve Humans Machine Learning COVID-19 Prospective Studies Computer Simulation
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Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare.

Nature communications Jan 29, 2021
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artifici...
Humans Machine Learning Intensive Care Units Electronic Health Records Risk Assessment Prevalence Clinical Decision Rules Predictive Value of Tests Feasibility Studies Data Mining Early Diagnosis Severity of Illness Index Sepsis Time Factors ROC Curve
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AI-based detection of reduced ejection fraction from the electrocardiogram: Is the future here already?

International journal of cardiology Jan 28, 2021
Electrocardiography Ventricular Dysfunction, Left Humans Artificial Intelligence Intensive Care Units Stroke Volume
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