AIMC Topic: Intensive Care Units

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Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU.

Critical care medicine Jan 20, 2023
OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line pattern) and abnormal (B line pattern) lung parenchyma on lung ultrasound (LUS) in critically ill p...
Ultrasonography Lung Deep Learning Humans Prospective Studies Critical Illness Intensive Care Units
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Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques.

Sensors (Basel, Switzerland) Jan 19, 2023
Due to the high occupational pressure suffered by intensive care units (ICUs), a correct estimation of the patients' length of stay (LoS) in the ICU is of great interest to predict possible situations of collapse, to help healthcare personnel to sele...
Bayes Theorem Computing Methodologies Algorithms Intensive Care Units Humans Artificial Intelligence
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Knowledge Graph Embeddings for ICU readmission prediction.

BMC medical informatics and decision making Jan 19, 2023
BACKGROUND: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with increased mortality rates and overall health deterioration, and a financial burden for healthcare facilities. As healthcare became more data-driven with...
Humans Patient Readmission Biological Ontologies Machine Learning Intensive Care Units Pattern Recognition, Automated
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A deep learning model to identify the fluid overload status in critically ill patients based on chest X-ray images.

Polish archives of internal medicine Jan 4, 2023
INTRODUCTION: Recent studies have highlighted adverse outcomes of fluid overload in critically ill patients. Therefore, its early recognition is essential for the management of these patients.
Deep Learning Heart Failure Extravascular Lung Water X-Rays Critical Illness Intensive Care Units Humans
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Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU.

Critical care (London, England) Jan 3, 2023
BACKGROUND: While early mobilization is commonly implemented in intensive care unit treatment guidelines to improve functional outcome, the characterization of the optimal individual dosage (frequency, level or duration) remains unclear. The aim of t...
Critical Illness Intensive Care Units Critical Care Humans Artificial Intelligence Hospitalization Early Ambulation Middle Aged
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3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients.

Journal of digital imaging Nov 30, 2022
Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for assessing lung damage. AI-powered predictive models could be useful to better allocate resources in the midst of the pandemic. Our aim was to build a deep-lear...
Deep Learning Intubation, Intratracheal SARS-CoV-2 Aged Humans COVID-19 Tomography, X-Ray Computed Retrospective Studies Intensive Care Units
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Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis.

Journal of medical Internet research Nov 30, 2022
BACKGROUND: Interest in critical care-related artificial intelligence (AI) research is growing rapidly. However, the literature is still lacking in comprehensive bibliometric studies that measure and analyze scientific publications globally.
Medicine Bibliometrics Humans Intensive Care Units Critical Care Artificial Intelligence
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Mortality prediction in ICU Using a Stacked Ensemble Model.

Computational and mathematical methods in medicine Nov 28, 2022
Artificial intelligence (AI) technology has huge scope in developing models to predict the survival rate of critically ill patients in the intensive care unit (ICU). The availability of electronic clinical data has led to the widespread use of variou...
Algorithms Artificial Intelligence Intensive Care Units Humans Machine Learning Area Under Curve
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Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients.

Artificial intelligence in medicine Nov 23, 2022
In recent years, machine learning methods have been rapidly adopted in the medical domain. However, current state-of-the-art medical mining methods usually produce opaque, black-box models. To address the lack of model transparency, substantial atten...
Mortality Machine Learning Intensive Care Units Humans
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Invited Commentary: Postoperative Artificial Intelligence Model for ICU Triage.

Journal of the American College of Surgeons Nov 17, 2022
Intensive Care Units Humans Triage Artificial Intelligence
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