AIMC Topic: Intensive Care Units

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Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients.

Computer methods and programs in biomedicine Feb 19, 2025
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient's breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A ...
Respiration, Artificial Logistic Models Support Vector Machine Memory, Short-Term Respiration Humans Neural Networks, Computer Algorithms Intensive Care Units
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Impact of Sepsis Onset Timing on All-Cause Mortality in Acute Pancreatitis: A Multicenter Retrospective Cohort Study.

Journal of intensive care medicine Feb 18, 2025
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have examined how sepsis and its onset timing affect mortality in AP. This study evaluates the association between sepsis occurrence and all-cause mortality ...
Aged Adult Male Middle Aged Intensive Care Units Female Risk Factors Acute Disease Propensity Score Kaplan-Meier Estimate Pancreatitis Sepsis Time Factors Hospital Mortality Humans Retrospective Studies
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Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit.

PloS one Feb 18, 2025
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whether triaged patients need to be admitted to the intensive care unit (ICU).
Algorithms Male Intensive Care Units Patient Admission Humans Middle Aged Female Triage Machine Learning ROC Curve Aged Area Under Curve Adult Bayes Theorem
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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: Identifying key variables is essential for developing clinical outcome prediction models based on high-dimensional electronic medical records (EMR). However, despite the abundance of feature selection (FS) methods available, challenges re...
Middle Aged Hospital Mortality Emergency Service, Hospital Outcome Assessment, Health Care Female Aged Male Acute Kidney Injury Intensive Care Units Electronic Health Records Humans Machine Learning
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Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm.

PloS one Feb 10, 2025
The healthcare industry is generating a massive volume of data, promising a potential goldmine of information that can be extracted through machine learning (ML) techniques. The Intensive Care Unit (ICU) stands out as a focal point within hospitals a...
Cardiac Surgical Procedures Humans Algorithms Neural Networks, Computer Intensive Care Units Machine Learning Respiration, Artificial
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Methods for estimating resting energy expenditure in intensive care patients: A comparative study of predictive equations with machine learning and deep learning approaches.

Computer methods and programs in biomedicine Feb 9, 2025
BACKGROUND: Accurate estimation of resting energy expenditure (REE) is critical for guiding nutritional therapy in critically ill patients. While indirect calorimetry (IC) is the gold standard for REE measurement, it is not routinely feasible in clin...
Aged Adult Male Middle Aged Critical Illness Intensive Care Units Female Rest Calorimetry, Indirect Deep Learning Critical Care Energy Metabolism Machine Learning Prospective Studies Humans
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Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study.

JMIR human factors Feb 5, 2025
BACKGROUND: Increasing use of computational methods in health care provides opportunities to address previously unsolvable problems. Machine learning techniques applied to routinely collected data can enhance clinical tools and improve patient outcom...
Humans Machine Learning Intensive Care Units Critical Care Data Curation
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Development and usability evaluation of a nurse-led clinical decision support system (AI-AntiDelirium) for management of intensive care unit delirium: A mixed methods study.

Applied nursing research : ANR Feb 4, 2025
BACKGROUND: Clinical decision support systems (CDSS) have been identified to aid clinical decision-making, but few studies focus on the application of CDSS in intensive care unit (ICU) delirium, and particularly usability testing is not employed. We ...
Intensive Care Units Female Adult Middle Aged Decision Support Systems, Clinical Cross-Sectional Studies Male Humans Artificial Intelligence Delirium Nursing Staff, Hospital Critical Care Nursing
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Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care.

International journal of medical informatics Feb 4, 2025
Increased monitoring of health-related data for ICU patients holds great potential for the early prediction of medical outcomes. Research on whether the use of clinical notes and concepts from knowledge bases can improve the performance of prediction...
Humans Neural Networks, Computer Convolutional Neural Networks Creatinine Critical Care Acute Kidney Injury Intensive Care Units Male
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The Liver Intensive Care Unit.

Clinics in liver disease Jan 30, 2025
Major advances in managing critically ill patients with liver disease have improved their prognosis and access to intensive care facilities. Acute-on-chronic liver failure (ACLF) is now a well-defined disease and these patients can be fast-tracked fo...
Critical Care Intensive Care Units Humans Liver Diseases Acute-On-Chronic Liver Failure Artificial Intelligence Liver Transplantation Plasma Exchange Critical Illness
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