AIMC Topic: Critical Care

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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...
Triage Emergency Service, Hospital Critical Care Artificial Intelligence Intensive Care Units Humans
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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...
Intensive Care Units Female Aged Machine Learning Retrospective Studies Middle Aged ROC Curve Hydrocephalus Adult Male Humans Neural Networks, Computer Ventriculoperitoneal Shunt Subarachnoid Hemorrhage Critical Care
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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.
Intensive Care Units Deep Learning Psychomotor Agitation Critical Care Humans Artificial Intelligence
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Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records.

Nature communications Mar 6, 2024
Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_E...
Deep Learning Methicillin-Resistant Staphylococcus aureus Critical Care Humans Electronic Health Records Hospitals
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Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes.

Computers, informatics, nursing : CIN Mar 1, 2024
Incidence of hospital-acquired pressure injury, a key indicator of nursing quality, is directly proportional to adverse outcomes, increased hospital stays, and economic burdens on patients, caregivers, and society. Thus, predicting hospital-acquired ...
Natural Language Processing Critical Care Pressure Ulcer Humans Hospitals
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Opening Pandora's box by generating ICU diaries through artificial intelligence: A hypothetical study protocol.

Intensive & critical care nursing Feb 22, 2024
BACKGROUND: Patients and families on Intensive Care Units (ICU) benefit from ICU diaries, enhancing their coping and understanding of their experiences. Staff shortages and a limited amount of time severely restrict the application of ICU diaries. To...
Intensive Care Units Critical Care Nursing Staff Patients Humans Artificial Intelligence
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Comparing the Quality of Domain-Specific Versus General Language Models for Artificial Intelligence-Generated Differential Diagnoses in PICU Patients.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 8, 2024
OBJECTIVES: Generative language models (LMs) are being evaluated in a variety of tasks in healthcare, but pediatric critical care studies are scant. Our objective was to evaluate the utility of generative LMs in the pediatric critical care setting an...
Critical Care Humans Adolescent Child, Preschool Intensive Care Units, Pediatric Diagnosis, Differential Child Female Male Infant Artificial Intelligence Retrospective Studies
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Robot-assisted early mobilization for intensive care unit patients: Feasibility and first-time clinical use.

International journal of nursing studies Jan 26, 2024
BACKGROUND: Early mobilization is only carried out to a limited extent in the intensive care unit. To address this issue, the robotic assistance system VEMOTION® was developed to facilitate (early) mobilization measures more easily. This paper descri...
Robotics Feasibility Studies Critical Care Humans Intensive Care Units Early Ambulation
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Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care.

Computers, informatics, nursing : CIN Jan 1, 2024
Given the critical and complex features of medical emergencies, it is essential to develop models that enable prompt and suitable clinical decision-making based on considerable information. Emergency nurses are responsible for categorizing and priori...
Machine Learning Retrospective Studies Hospitalization Critical Care Humans Triage Emergency Service, Hospital
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The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Dec 7, 2023
OBJECTIVE: Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and implementation frequency to inform best practices for the development, validation, and reporting of p...
Child Supervised Machine Learning Sepsis Critical Care Pediatrics Humans Data Science Biomedical Research Acute Lung Injury
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