AIMC Topic: Intensive Care Units

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Prediction of hospital mortality among critically ill patients in a single centre in Asia: comparison of artificial neural networks and logistic regression-based model.

Hong Kong medical journal = Xianggang yi xue za zhi Mar 28, 2024
INTRODUCTION: This study compared the performance of the artificial neural network (ANN) model with the Acute Physiologic and Chronic Health Evaluation (APACHE) II and IV models for predicting hospital mortality among critically ill patients in Hong ...
APACHE Hong Kong ROC Curve Logistic Models Area Under Curve Aged Male Humans Middle Aged Hospital Mortality Neural Networks, Computer Retrospective Studies Critical Illness Intensive Care Units Female
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Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients.

Clinical and experimental nephrology Mar 27, 2024
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous renal replacement therapy (CRRT) following coronary artery bypass grafting (CABG) surgery in intensive care unit (ICU) patients.
Machine Learning Retrospective Studies Continuous Renal Replacement Therapy Female Risk Factors Acute Kidney Injury Humans Risk Assessment Intensive Care Units Bayes Theorem Aged ROC Curve Coronary Artery Bypass Male Middle Aged
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Predicting intubation for intensive care units patients: A deep learning approach to improve patient management.

International journal of medical informatics Mar 26, 2024
OBJECTIVE: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant association with patients' outcomes. However, accurate prediction of the timing of intubation remains an unsolved challenge due to the noisy, sparse,...
Critical Care Intensive Care Units Humans Deep Learning Machine Learning ROC Curve
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Artificial intelligence to advance acute and intensive care medicine.

Current opinion in critical care Mar 22, 2024
PURPOSE OF REVIEW: This review explores recent key advancements in artificial intelligence for acute and intensive care medicine. As artificial intelligence rapidly evolves, this review aims to elucidate its current applications, future possibilities...
Humans Artificial Intelligence Intensive Care Units Critical Care Triage Emergency Service, Hospital
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Early prediction of ventricular peritoneal shunt dependency in aneurysmal subarachnoid haemorrhage patients by recurrent neural network-based machine learning using routine intensive care unit data.

Journal of clinical monitoring and computing Mar 21, 2024
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic congestion. Treatment of this acute condition often includes establishing an external ventricular drainage (EVD). However, chronic hydrocephalus develops...
Ventriculoperitoneal Shunt Adult Male Middle Aged Subarachnoid Hemorrhage Critical Care ROC Curve Hydrocephalus Intensive Care Units Female Aged Humans Neural Networks, Computer Machine Learning Retrospective Studies
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Determining steady-state trough range in vancomycin drug dosing using machine learning.

Journal of critical care Mar 18, 2024
BACKGROUND: Vancomycin is a renally eliminated, nephrotoxic, glycopeptide antibiotic with a narrow therapeutic window, widely used in intensive care units (ICU). We aimed to predict the risk of inappropriate vancomycin trough levels and appropriate d...
Anti-Bacterial Agents Retrospective Studies Critical Illness Intensive Care Units Humans Machine Learning Male Middle Aged Drug Monitoring Vancomycin Female Aged Adult
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An automated ICU agitation monitoring system for video streaming using deep learning classification.

BMC medical informatics and decision making Mar 18, 2024
OBJECTIVE: To address the challenge of assessing sedation status in critically ill patients in the intensive care unit (ICU), we aimed to develop a non-contact automatic classifier of agitation using artificial intelligence and deep learning.
Deep Learning Critical Care Psychomotor Agitation Humans Artificial Intelligence Intensive Care Units
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Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

European journal of internal medicine Mar 8, 2024
It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the emergency department. Using artificial neural networks, we propose a new Data Ensemble Refinement Greedy Algorithm (DERGA...
Intensive Care Units Female SARS-CoV-2 Aged COVID-19 Algorithms Prognosis Severity of Illness Index Neutrophils Ferritins Adult L-Lactate Dehydrogenase Neural Networks, Computer Male Humans Machine Learning Middle Aged
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A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals.

Scientific reports Mar 8, 2024
The development of reliable mortality risk stratification models is an active research area in computational healthcare. Mortality risk stratification provides a standard to assist physicians in evaluating a patient's condition or prognosis objective...
Machine Learning Humans Prognosis Hospitals Intensive Care Units
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Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards.

Scientific reports Feb 27, 2024
Early detection of deteriorating patients is important to prevent life-threatening events and improve clinical outcomes. Efforts have been made to detect or prevent major events such as cardiopulmonary resuscitation, but previously developed tools ar...
Deep Learning Female Humans ROC Curve Adolescent Hospitalization Patients' Rooms Retrospective Studies Child Male Intensive Care Units
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