AIMC Topic: Intensive Care Units

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Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.

Studies in health technology and informatics Mar 1, 2024
The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect ...
Databases, Factual Intensive Care Units Machine Learning Patient Safety Hospitals, University Medication Errors Decision Support Systems, Clinical Pharmaceutical Preparations Humans Artificial Intelligence
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Treatment Prediction in the ICU Using a Partitioned, Sequential, Deep Time Series Analysis.

Studies in health technology and informatics Jan 25, 2024
We have developed a time-oriented machine-learning tool to predict the binary decision of administering a medication and the quantitative decision regarding the specific dose. We evaluated our tool on the MIMIC-IV ICU database, for three common medic...
Intensive Care Units Time Factors Research Design Databases, Factual Machine Learning
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Better Blood Pressure Control for Stroke Patients in the ICU: A Deep Reinforcement Learning with Supervised Guidance Approach for Adaptive Infusion Rate Tuning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Blood pressure variability (BPV) plays a critical role in vascular diseases, particularly in acute ischemic stroke patients in intensive care units (ICUs), where higher BPV correlates with increased mortality rates. Current interventions lack effecti...
Reinforcement Machine Learning Infusions, Intravenous Nicardipine Blood Pressure Antihypertensive Agents Stroke Humans Deep Learning Intensive Care Units Hypertension
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Neural Granger Causal Discovery for Derangements in ICU-Acquired Acute Kidney Injury Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Nowadays, healthcare systems increasingly utilize automated surveillance of electronic medical record (EMR) data to detect adverse events with specific patterns. Despite these technological advances, the early identification of adverse events remains...
Humans Intensive Care Units Neural Networks, Computer Electronic Health Records Algorithms Acute Kidney Injury
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[Intelligent rehabilitation platform in intensive care unit].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Nov 12, 2023
As the development of rehabilitation medicine and critical care medicine, intensive care rehabilitation has become the focus of attention. With the development of artificial intelligence, wearable devices and non-contact multimodal behavior perceptio...
Critical Care Humans Artificial Intelligence Intensive Care Units
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ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

IEEE journal of biomedical and health informatics Oct 1, 2023
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). Diseases often have complex manifestations with heterogeneous subpopulations, or subtypes, that exhibit distinct clinical characteristics. Risk models...
Humans Respiratory Distress Syndrome Deep Learning Neural Networks, Computer Sepsis Intensive Care Units
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Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis.

Medicine Sep 22, 2023
BACKGROUND: The field of critical care-related artificial intelligence (AI) research is rapidly gaining interest. However, there is still a lack of comprehensive bibliometric studies that measure and analyze scientific publications on a global scale....
Critical Care Cinacalcet Academies and Institutes Intensive Care Units Bibliometrics Humans Artificial Intelligence
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Predicting the risk of mortality in ICU patients based on dynamic graph attention network of patient similarity.

Mathematical biosciences and engineering : MBE Jul 21, 2023
Predicting the risk of mortality of hospitalized patients in the ICU is essential for timely identification of high-risk patients and formulate and adjustment of treatment strategies when patients are hospitalized. Traditional machine learning method...
Intensive Care Units Risk Factors Humans Machine Learning
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[Intelligent intensive care unit makes medicine more accessible].

Zhonghua yi xue za zhi Jul 11, 2023
In the past half century, critical care medicine has made rapid development, and the survival rate of critically ill patients has significantly improved. However, what does not match the rapid development of the specialty is that the infrastructure o...
Intensive Care Units Humans Critical Care Artificial Intelligence
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A Pilot Study of Deep Learning Models for Camera based Hand Hygiene Monitoring in ICU.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Hand hygiene is key to preventing cross-infections in the Intensive Care Unit (ICU). Monitoring of hand washing activities can effectively increase the compliance of clinicians to hand hygiene. In this paper, we explored the feasibility of recognizin...
Pilot Projects Humans Intensive Care Units Hand Hygiene Guideline Adherence Deep Learning Cross Infection
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