AIMC Topic: Intensive Care Units

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Current perspectives on the use of artificial intelligence in critical patient safety.

Medicina intensiva Apr 26, 2024
Intensive Care Units (ICUs) have undergone enhancements in patient safety, and artificial intelligence (AI) emerges as a disruptive technology offering novel opportunities. While the published evidence is limited and presents methodological issues, c...
Intensive Care Units Decision Support Systems, Clinical Critical Care Artificial Intelligence Medical Errors Humans Algorithms Patient Safety
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[Data-driven intensive care: a lack of comprehensive datasets].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
Humans Confidentiality Critical Care Datasets as Topic Germany Machine Learning Computer Security Intensive Care Units Databases, Factual Big Data Europe
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Application of interpretable machine learning algorithms to predict acute kidney injury in patients with cerebral infarction in ICU.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 23, 2024
BACKGROUND: Acute kidney injury (AKI) is not only a complication but also a serious threat to patients with cerebral infarction (CI). This study aimed to explore the application of interpretable machine learning algorithms in predicting AKI in patien...
Middle Aged Risk Assessment Diagnosis, Computer-Assisted Aged, 80 and over Male China Predictive Value of Tests Cerebral Infarction Intensive Care Units Female Reproducibility of Results Risk Factors Aged Prognosis Humans Retrospective Studies Acute Kidney Injury Machine Learning Decision Support Techniques
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Generalizing the application of machine learning predictive models across different populations: does a model to predict the use of renal replacement therapy in critically ill COVID-19 patients apply to general intensive care unit patients?

Critical care science Apr 22, 2024
Intensive Care Units COVID-19 Humans Renal Replacement Therapy Machine Learning Critical Illness
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Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine.

BMJ health & care informatics Apr 19, 2024
OBJECTIVES: To explore the views of intensive care professionals in high-income countries (HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation of artificial intelligence (AI) technologies in intensive care units (I...
Humans Artificial Intelligence Intensive Care Units Knowledge Qualitative Research Critical Care
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Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review.

Journal of anesthesia Apr 9, 2024
Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless, the absence of a swift and precise method for prediction and detection poses a challenge. This study aims to provide a comprehensive literature revi...
Algorithms Intensive Care Units Humans Atrial Fibrillation Machine Learning
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Use of artificial intelligence in critical care: opportunities and obstacles.

Critical care (London, England) Apr 8, 2024
BACKGROUND: Perhaps nowhere else in the healthcare system than in the intensive care unit environment are the challenges to create useful models with direct time-critical clinical applications more relevant and the obstacles to achieving those goals ...
Humans Artificial Intelligence Intensive Care Units Critical Care Algorithms Delivery of Health Care
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The value of artificial intelligence for the treatment of mechanically ventilated intensive care unit patients: An early health technology assessment.

Journal of critical care Apr 6, 2024
PURPOSE: The health and economic consequences of artificial intelligence (AI) systems for mechanically ventilated intensive care unit patients often remain unstudied. Early health technology assessments (HTA) can examine the potential impact of AI sy...
Cost-Benefit Analysis Humans Models, Economic Artificial Intelligence Technology Assessment, Biomedical Intensive Care Units Respiration, Artificial
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Automatic ARDS surveillance with chest X-ray recognition using convolutional neural networks.

Journal of critical care Mar 28, 2024
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable of differentiation Chest X-Rays between pneumonia, acute respiratory distress syndrome (ARDS) and normal lungs.
Intensive Care Units Radiography, Thoracic Female Humans Sensitivity and Specificity Adult Deep Learning Neural Networks, Computer Male Respiratory Distress Syndrome Middle Aged Pneumonia
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Two-step interpretable modeling of ICU-AIs.

Artificial intelligence in medicine Mar 28, 2024
We present a novel methodology for integrating high resolution longitudinal data with the dynamic prediction capabilities of survival models. The aim is two-fold: to improve the predictive power while maintaining the interpretability of the models. T...
Humans Neural Networks, Computer Intensive Care Units Cross Infection
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