AIMC Topic: Intensive Care Units
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A deep learning approach for inpatient length of stay and mortality prediction.
Journal of biomedical informatics
Oct 17, 2023
PURPOSE: Accurate prediction of the Length of Stay (LoS) and mortality in the Intensive Care Unit (ICU) is crucial for effective hospital management, and it can assist clinicians for real-time demand capacity (RTDC) administration, thereby improving ...
Continuous visualization and validation of pain in critically ill patients using artificial intelligence: a retrospective observational study.
Scientific reports
Oct 14, 2023
Machine learning tools have demonstrated viability in visualizing pain accurately using vital sign data; however, it remains uncertain whether incorporating individual patient baselines could enhance accuracy. This study aimed to investigate improvin...
An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in intensive care unit: Development and external validation of ICU-ISPM.
Computers in biology and medicine
Oct 11, 2023
Ischemic stroke (IS) is a common and severe condition that requires intensive care unit (ICU) admission, with high mortality and variable prognosis. Accurate and reliable predictive tools that enable early risk stratification can facilitate intervent...
Evaluating the Use of a Robot in a Hematological Intensive Care Unit: A Pilot Study.
Sensors (Basel, Switzerland)
Oct 10, 2023
The aim of the SYRIACA project was to test the capability of a social robot to perform specific tasks in healthcare settings, reducing infection risks for patients and caregivers. The robot was piloted in an Intensive Hematological Unit, where the pa...
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Annals of internal medicine
Oct 10, 2023
BACKGROUND: Substantial effort has been directed toward demonstrating uses of predictive models in health care. However, implementation of these models into clinical practice may influence patient outcomes, which in turn are captured in electronic he...
Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support.
Applied clinical informatics
Oct 4, 2023
BACKGROUND: Critical instability forecast and treatment can be optimized by artificial intelligence (AI)-enabled clinical decision support. It is important that the user-facing display of AI output facilitates clinical thinking and workflow for all d...
Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.
Critical care (London, England)
Sep 5, 2023
BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed t...
Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy.
BMC medical informatics and decision making
Aug 31, 2023
OBJECTIVES: Anti-thrombotic therapy is the basis of thrombosis prevention and treatment. Bleeding is the main adverse event of anti-thrombosis. Existing laboratory indicators cannot accurately reflect the real-time coagulation function. It is necessa...
Using machine learning to estimate health spillover effects.
The European journal of health economics : HEPAC : health economics in prevention and care
Aug 6, 2023
We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de Janeiro, Brazil, and examine cross-patient spillover effe...
Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.
IEEE transactions on bio-medical engineering
Jul 18, 2023
OBJECTIVE: Heart failure, respiratory failure and kidney failure are three severe organ failures (OF) that have high mortalities and are most prevalent in intensive care units. The objective of this work is to offer insights into OF clustering from t...
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