AI Medical Compendium Journal:
Journal of clinical monitoring and computing

Showing 21 to 30 of 35 articles

Detection of arterial pressure waveform error using machine learning trained algorithms.

Journal of clinical monitoring and computing Feb 1, 2021
In critically ill and high-risk surgical room patients, an invasive arterial catheter is often inserted to continuously measure arterial pressure (AP). The arterial waveform pressure measurement, however, may be compromised by damping or inappropriat...
Adult Middle Aged Heart Rate Arterial Pressure Arteries Humans Machine Learning Algorithms Aged
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Perioperative intelligence: applications of artificial intelligence in perioperative medicine.

Journal of clinical monitoring and computing Aug 29, 2019
Patient Readmission Medical Informatics Risk Perioperative Period Perioperative Care Humans Artificial Intelligence Algorithms Perioperative Medicine Machine Learning Patient Safety Postoperative Complications Big Data Decision Support Systems, Clinical
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Predicting vital sign deterioration with artificial intelligence or machine learning.

Journal of clinical monitoring and computing Jun 28, 2019
Humans Artificial Intelligence Intensive Care Units Machine Learning Tachycardia
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Monitoring the level of hypnosis using a hierarchical SVM system.

Journal of clinical monitoring and computing Apr 15, 2019
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery. This paper proposes a novel automated method for accurate assessing of the lev...
Humans Algorithms Female Young Adult Support Vector Machine Hypnotics and Sedatives Electroencephalography Anesthesia Hypnosis Adult Male Middle Aged Adolescent Intraoperative Neurophysiological Monitoring
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Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.

Journal of clinical monitoring and computing Apr 6, 2019
Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs monitors ranges from 0.72 to 0.99. We applied machine learning (ML) to ICU multi-sensor information to imitate a medical specialist in diagnosing pat...
False Positive Reactions Clinical Alarms Humans Machine Learning Monitoring, Physiologic Decision Support Techniques Knowledge Bases Retrospective Studies Critical Care Intensive Care Units Expert Systems Pattern Recognition, Automated
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Applying machine learning to continuously monitored physiological data.

Journal of clinical monitoring and computing Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Clinical Alarms Arrhythmias, Cardiac Atrial Fibrillation Critical Care Expert Systems Wavelet Analysis Databases, Factual Intensive Care Units Electronic Health Records Adult Respiration, Artificial Sepsis Decision Support Systems, Clinical Monitoring, Physiologic Randomized Controlled Trials as Topic Delirium Humans Machine Learning Software Algorithms
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Machine learning based framework to predict cardiac arrests in a paediatric intensive care unit : Prediction of cardiac arrests.

Journal of clinical monitoring and computing Sep 27, 2018
A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the cardiac arrests as potentially predictable, the majority are difficult to identify even in a post-incident analysis. Changes in some patients' physiolog...
Critical Illness Infant, Newborn Reproducibility of Results Sensitivity and Specificity Infant Child, Preschool Child Intensive Care Units, Pediatric Humans Monitoring, Physiologic Machine Learning Blood Pressure Respiratory Rate Oxygen Software Heart Arrest Signal Processing, Computer-Assisted Heart Rate Critical Care Systole
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Identify and monitor clinical variation using machine intelligence: a pilot in colorectal surgery.

Journal of clinical monitoring and computing Sep 24, 2018
Standardized clinical pathways are useful tool to reduce variation in clinical management and may improve quality of care. However the evidence supporting a specific clinical pathway for a patient or patient population is often imperfect limiting ado...
Ketorolac Colonic Neoplasms Patient Compliance Patient Readmission Software Medical Informatics Algorithms Colorectal Surgery Inflammatory Bowel Diseases Humans Reproducibility of Results Monitoring, Intraoperative Artificial Intelligence Pilot Projects Treatment Outcome Machine Learning Infusions, Intravenous Data Interpretation, Statistical Signal Processing, Computer-Assisted
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Acute pain intensity monitoring with the classification of multiple physiological parameters.

Journal of clinical monitoring and computing Jun 26, 2018
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualit...
Acute Pain Galvanic Skin Response Humans Electromyography Neural Networks, Computer Heart Rate Healthy Volunteers Respiration Male Hot Temperature ROC Curve Critical Illness Monitoring, Physiologic Female Area Under Curve Reproducibility of Results Pain Measurement Young Adult Adult
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Hypotension Critical Care Aged, 80 and over False Positive Reactions Young Adult Brain Injuries Databases, Factual Humans Adult Middle Aged Area Under Curve Prospective Studies Diagnosis, Computer-Assisted Neural Networks, Computer Sample Size Intensive Care Units Sensitivity and Specificity Pilot Projects Machine Learning Bayes Theorem Female Male Adolescent Software Signal Processing, Computer-Assisted Aged Brain Injuries, Traumatic
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