AIMC Topic: Critical Illness

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Equity in Using Artificial Intelligence to Target Serious Illness Conversations for Patients With Life-Limiting Illness.

Journal of pain and symptom management Apr 11, 2023
Critical Illness Humans Artificial Intelligence Communication Advance Care Planning
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Deep Learning-Based Recurrent Delirium Prediction in Critically Ill Patients.

Critical care medicine Feb 15, 2023
OBJECTIVES: To predict impending delirium in ICU patients using recurrent deep learning.
Delirium Alberta Intensive Care Units Deep Learning Humans Retrospective Studies Critical Illness
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Early recognition of risk of critical adverse events based on deep neural decision gradient boosting.

Frontiers in public health Jan 26, 2023
INTRODUCTION: Perioperative critical events will affect the quality of medical services and threaten the safety of patients. Using scientific methods to evaluate the perioperative risk of critical illness is of great significance for improving the qu...
Hospitals Machine Learning Humans Critical Illness Neural Networks, Computer
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Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU.

Critical care medicine Jan 20, 2023
OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line pattern) and abnormal (B line pattern) lung parenchyma on lung ultrasound (LUS) in critically ill p...
Deep Learning Ultrasonography Intensive Care Units Lung Prospective Studies Critical Illness Humans
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A deep learning model to identify the fluid overload status in critically ill patients based on chest X-ray images.

Polish archives of internal medicine Jan 4, 2023
INTRODUCTION: Recent studies have highlighted adverse outcomes of fluid overload in critically ill patients. Therefore, its early recognition is essential for the management of these patients.
Heart Failure Extravascular Lung Water Intensive Care Units Deep Learning X-Rays Humans Critical Illness
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Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU.

Critical care (London, England) Jan 3, 2023
BACKGROUND: While early mobilization is commonly implemented in intensive care unit treatment guidelines to improve functional outcome, the characterization of the optimal individual dosage (frequency, level or duration) remains unclear. The aim of t...
Artificial Intelligence Critical Illness Humans Early Ambulation Intensive Care Units Middle Aged Hospitalization Critical Care
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ognitive utcomes in the ragmatic nvestigation of optimaxygen argets (CO-PILOT) trial: protocol and statistical analysis plan.

BMJ open Nov 1, 2022
INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical illness among survivors who receive mechanical ventilation. Recommended oxygen targets during mechanical ventilation vary among international guidelines....
Randomized Controlled Trials as Topic Oxygen Quality of Life Humans Cognition Critical Illness
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Biological signatures and prediction of an immunosuppressive status-persistent critical illness-among orthopedic trauma patients using machine learning techniques.

Frontiers in immunology Oct 17, 2022
BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying pathophysiology driving PerCI remains incompletely understood. The objectives of the study were to identify the biological signature of PerCI development, ...
Organ Dysfunction Scores Humans Risk Factors Machine Learning ROC Curve Critical Illness
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Automation of sub-aortic velocity time integral measurements by transthoracic echocardiography: clinical evaluation of an artificial intelligence-enabled tool in critically ill patients.

British journal of anaesthesia Aug 26, 2022
Automation Critical Illness Humans Cardiac Output Echocardiography Artificial Intelligence Blood Flow Velocity
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[Early mobilization in the intensive care unit-Are robot-assisted systems the future?].

Die Anaesthesiologie Jun 15, 2022
BACKGROUND: Intensive care unit (ICU) acquired weakness is associated with reduced physical function, increased mortality and reduced quality of life, and affects about 43% of survivors of critical illness. Lacking therapeutic options, the prevention...
Quality of Life Robotics Stroke Early Ambulation Critical Illness Intensive Care Units Humans
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