AIMC Topic: Critical Care

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Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.

BMC neurology Apr 22, 2023
INTRODUCTION: Digital twins, a form of artificial intelligence, are virtual representations of the physical world. In the past 20 years, digital twins have been utilized to track wind turbines' operations, monitor spacecraft's status, and even create...
Delphi Technique Consensus Intensive Care Units Stroke Critical Care Humans Artificial Intelligence
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Multi-event survival analysis through dynamic multi-modal learning for ICU mortality prediction.

Computer methods and programs in biomedicine Apr 11, 2023
BACKGROUND AND OBJECTIVE: Survival analysis is widely applied for assessing the expected duration of patient status towards event occurrences such as mortality in healthcare domain, which is generally considered as a time-to-event problem. Patients w...
Humans Machine Learning Survival Analysis Intensive Care Units Critical Care Algorithms
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The Role of Data Science in Closing the Implementation Gap.

Critical care clinics Apr 7, 2023
Data science has the potential to greatly enhance efforts to translate evidence into practice in critical care. The intensive care unit is a data-rich environment enabling insight into both patient-level care patterns and clinician-level treatment pa...
Data Science Critical Care Artificial Intelligence Intensive Care Units Humans
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Pediatric Deterioration Detection Using Machine Learning.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Apr 6, 2023
Critical Care Humans Machine Learning Child
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A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research.

Journal of biomedical informatics Apr 5, 2023
Transforming raw EHR data into machine learning model-ready inputs requires considerable effort. One widely used EHR database is Medical Information Mart for Intensive Care (MIMIC). Prior work on MIMIC-III cannot query the updated and improved MIMIC-...
Machine Learning Databases, Factual Humans Area Under Curve Critical Care Intensive Care Units Hospital Mortality
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Facilitating the Next Paradigm Shift in Critical Care Through Artificial Intelligence.

Critical care clinics Mar 25, 2023
Humans Artificial Intelligence Critical Care
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Exploring a global interpretation mechanism for deep learning networks when predicting sepsis.

Scientific reports Feb 21, 2023
The purpose of this study is to identify additional clinical features for sepsis detection through the use of a novel mechanism for interpreting black-box machine learning models trained and to provide a suitable evaluation for the mechanism. We use ...
Humans Machine Learning Sepsis Critical Care Algorithms Deep Learning
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Logistic regression technique is comparable to complex machine learning algorithms in predicting cognitive impairment related to post intensive care syndrome.

Scientific reports Feb 11, 2023
To evaluate the performance of machine learning (ML) models and to compare it with logistic regression (LR) technique in predicting cognitive impairment related to post intensive care syndrome (PICS-CI). We conducted a prospective observational study...
Logistic Models Bayes Theorem Critical Care Machine Learning Algorithms Humans
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Modeling acute care utilization: practical implications for insomnia patients.

Scientific reports Feb 7, 2023
Machine learning models can help improve health care services. However, they need to be practical to gain wide-adoption. In this study, we investigate the practical utility of different data modalities and cohort segmentation strategies when designin...
Humans Critical Care Retrospective Studies Emergency Service, Hospital Machine Learning
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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...
Early Ambulation Intensive Care Units Hospitalization Middle Aged Critical Care Artificial Intelligence Critical Illness Humans
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