AIMC Topic: Intensive Care Units

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Real-Time-Capable Muscle Force Estimation for Monitoring Robotic Rehabilitation Therapy in the Intensive Care Unit.

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
In this paper, a method is proposed to enable real-time monitoring of muscle forces during robotic rehabilitation therapy in the ICU. This method is solely based on sensor information provided by the rehabilitation robot. In current clinical practice...
Humans Intensive Care Units Robotic Surgical Procedures Hip Muscle, Skeletal Robotics
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Continuous Renal Replacement Therapy: What Have We Learned And What Are Key Milestones For The Years To Come?

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion Jan 1, 2023
Continuous renal replacement therapy (CRRT) is the main extracorporeal kidney support therapy used in critical ill patients in the intensive care unit (ICU). Since its conceptualization ~50 years ago, there have been major improvements in its technol...
Acute Kidney Injury Critical Illness Intensive Care Units Continuous Renal Replacement Therapy Humans Renal Replacement Therapy Pandemics
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Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

Renal failure Dec 1, 2022
BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI and increases short-term mortality. However, there are no studies o...
Hospital Mortality Machine Learning Acute Disease Acute Kidney Injury Intensive Care Units Humans Aged
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Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use.

BMJ health & care informatics Nov 1, 2022
OBJECTIVE: Clinical notes contain information that has not been documented elsewhere, including responses to treatment and clinical findings, which are crucial for predicting key outcomes in patients in acute care. In this study, we propose the autom...
Machine Learning Phenotype Humans Critical Care Intensive Care Units Hospital Mortality
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Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.

Advances in chronic kidney disease Sep 1, 2022
Machine learning is the field of artificial intelligence in which computers are trained to make predictions or to identify patterns in data through complex mathematical algorithms. It has great potential in critical care to predict outcomes, such as ...
Acute Kidney Injury Intensive Care Units Critical Care Artificial Intelligence Machine Learning Humans
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Point-of-Care Ultrasound in the Intensive Care Unit: Applications, Limitations, and the Evolution of Clinical Practice.

Clinics in chest medicine Sep 1, 2022
The use of point-of-care ultrasonography in the intensive care unit has been rapidly advancing over the past 20 years. This review will provide a broad overview of the discipline spanning lung ultrasonography to advanced critical care echocardiograph...
Point-of-Care Systems Ultrasonography Artificial Intelligence Intensive Care Units Critical Care Humans
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Development and validation of a deep learning model to predict the survival of patients in ICU.

Journal of the American Medical Informatics Association : JAMIA Aug 16, 2022
BACKGROUND: Patients in the intensive care unit (ICU) are often in critical condition and have a high mortality rate. Accurately predicting the survival probability of ICU patients is beneficial to timely care and prioritizing medical resources to im...
APACHE Deep Learning Retrospective Studies Humans China Hospital Mortality Intensive Care Units Critical Care
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[Survey and analysis on digital construction of primary hospitals in Guizhou Province].

Zhonghua wei zhong bing ji jiu yi xue Aug 1, 2022
OBJECTIVE: To investigate the utilization status and awareness of digital hospital construction among medical staff in critical care department of primary hospitals, so as to promote the process of digital medical health.
Intensive Care Units Aged Hospitals Surveys and Questionnaires Humans Critical Care Artificial Intelligence
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Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis.

Studies in health technology and informatics Jun 29, 2022
We developed a neural network architecture to evaluate the patient's state using temporal data, patient's demographics and comorbidities. We examined the model's ability to predict both a binary medication-treatment decision and its specific dose in ...
Time Factors Humans Neural Networks, Computer Intensive Care Units
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Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records.

Studies in health technology and informatics Jun 6, 2022
OBJECTIVE: We aimed to develop a data-driven machine learning model for predicting critical deterioration events from routinely collected EHR data in hospitalized children.
Humans Intensive Care Units Electronic Health Records Machine Learning Retrospective Studies Hospitalization Child
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