AI Medical Compendium Journal:
Journal of clinical monitoring and computing

Showing 1 to 10 of 35 articles

Deep reinforcement learning for multi-targets propofol dosing.

Journal of clinical monitoring and computing Mar 6, 2025
The administration of propofol for sedation or general anesthesia presents challenges due to the complex relationship between patient factors and real-time physiological responses. This study explores the application of deep reinforcement learning (D...
Anesthetics, Intravenous Heart Rate Arterial Pressure Respiratory Rate Reinforcement Machine Learning Consciousness Monitors Deep Learning Propofol Hypnotics and Sedatives Anesthesia, General Electroencephalography Humans Algorithms Computer Simulation
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Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.

Journal of clinical monitoring and computing Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Adult Male Middle Aged Spectroscopy, Near-Infrared Hemodynamics Brain Female Humans Reproducibility of Results Machine Learning Aged Algorithms Supervised Machine Learning Monitoring, Intraoperative Carbon Dioxide ROC Curve Oxygen Saturation Oxygen Cerebrovascular Circulation Signal Processing, Computer-Assisted Oximetry
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Noninvasive estimation of PaCO from volumetric capnography in animals with injured lungs: an Artificial Intelligence approach.

Journal of clinical monitoring and computing Dec 26, 2024
To investigate the feasibility of non-invasively estimating the arterial partial pressure of carbon dioxide (PaCO) using a computational Adaptive Neuro-Fuzzy Inference System (ANFIS) model fed by noninvasive volumetric capnography (VCap) parameters. ...
Artificial Intelligence Algorithms Reproducibility of Results Animals Respiration, Artificial Positive-Pressure Respiration Feasibility Studies Carbon Dioxide Lung Injury Partial Pressure Lung Swine Fuzzy Logic Monitoring, Physiologic Capnography
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A review of machine learning methods for non-invasive blood pressure estimation.

Journal of clinical monitoring and computing Sep 21, 2024
Blood pressure is a very important clinical measurement, offering valuable insights into the hemodynamic status of patients. Regular monitoring is crucial for early detection, prevention, and treatment of conditions like hypotension and hypertension,...
Monitoring, Physiologic Blood Pressure Signal Processing, Computer-Assisted Hypotension Machine Learning Algorithms Hemodynamics Hypertension Blood Pressure Determination Humans
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Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.

Journal of clinical monitoring and computing Aug 20, 2024
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. This study aims to evaluate whether ANN can calculate minute volume during spontaneous breathing after being trained using data from an animal model of...
Neural Networks, Computer Algorithms Animals Swine Disease Models, Animal Hydrogen-Ion Concentration Carbon Dioxide Linear Models Blood Gas Analysis Acidosis, Lactic Brain Stem Lactic Acid Body Temperature Respiration Proof of Concept Study
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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Journal of clinical monitoring and computing Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Consciousness Monitors Blood Pressure Monitors Capnography Blood Pressure Determination Blood Pressure Area Under Curve Hypotension Algorithms Intraoperative Complications Databases, Factual Monitoring, Intraoperative Female ROC Curve Reproducibility of Results Photoplethysmography Aged Electrocardiography Adult Humans Male Artificial Intelligence Middle Aged Deep Learning
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Video-based automatic hand hygiene detection for operating rooms using 3D convolutional neural networks.

Journal of clinical monitoring and computing Jun 19, 2024
Hand hygiene among anesthesia personnel is important to prevent hospital-acquired infections in operating rooms; however, an efficient monitoring system remains elusive. In this study, we leverage a deep learning approach based on operating room vide...
Humans Neural Networks, Computer Deep Learning Algorithms Hand Hygiene Video Recording Sensitivity and Specificity Anesthesiology Cross Infection Operating Rooms
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A machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring.

Journal of clinical monitoring and computing Apr 15, 2024
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection of abnormal ventilation, allowing intervention before patient deteri...
Monitoring, Physiologic Female Signal Processing, Computer-Assisted Oximetry Reproducibility of Results Analgesics, Opioid Humans Capnography Male Artifacts Machine Learning Middle Aged Algorithms Prospective Studies
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Machine learning based analysis and detection of trend outliers for electromyographic neuromuscular monitoring.

Journal of clinical monitoring and computing Apr 4, 2024
PURPOSE: Neuromuscular monitoring is frequently plagued by artefacts, which along with the frequent unawareness of the principles of this subtype of monitoring by many clinicians, tends to lead to a cynical attitute by clinicians towards these monito...
Machine Learning Algorithms Prospective Studies Female Reproducibility of Results Monitoring, Intraoperative Humans Signal Processing, Computer-Assisted Aged Electromyography Adult Artifacts Male Neuromuscular Monitoring Middle Aged
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Algor-ethics: charting the ethical path for AI in critical care.

Journal of clinical monitoring and computing Apr 4, 2024
The integration of Clinical Decision Support Systems (CDSS) based on artificial intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its development and ethical implementation, presents unique challenges, particula...
Humans Clinical Decision-Making Artificial Intelligence Decision Support Systems, Clinical Algorithms Critical Care
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