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[HTML][HTML] Use of artificial intelligence in paediatric anaesthesia: a systematic review
Objectives Although the development of artificial intelligence (AI) technologies in medicine
has been significant, their application to paediatric anaesthesia is not well characterised. As …
has been significant, their application to paediatric anaesthesia is not well characterised. As …
Augmented intelligence in pediatric anesthesia and pediatric critical care
Most studies focusing on artificial intelligence demonstrate good performance on prediction
or classification, whether they use traditional statistical tools or novel machine-learning …
or classification, whether they use traditional statistical tools or novel machine-learning …
Utility of vital signs, heart rate variability and complexity, and machine learning for identifying the need for lifesaving interventions in trauma patients
To date, no studies have attempted to utilize data from a combination of vital signs, heart rate
variability and complexity (HRV, HRC), as well as machine learning (ML), for identifying the …
variability and complexity (HRV, HRC), as well as machine learning (ML), for identifying the …
Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning
Abstract The United States Air Force (USAF) is struggling to train enough pilots to meet
operational requirements. Technology has advanced rapidly over the last 70 years but …
operational requirements. Technology has advanced rapidly over the last 70 years but …
A qualitative study of expert and team cognition on complex patients in the pediatric intensive care unit
Objectives: To understand expert and team cognition of complex patients in the pediatric
intensive care unit through the use of cognitive task analysis. Design: Qualitative study with …
intensive care unit through the use of cognitive task analysis. Design: Qualitative study with …
Wireless technology in the evolution of patient monitoring on general hospital wards
The evolution of patient monitoring on general hospital wards is discussed. Patients on
general wards are monitored according to the severity of their conditions, which can be …
general wards are monitored according to the severity of their conditions, which can be …
Using modified multivariate bag-of-words models to classify physiological data
In this paper we present two novel multivariate time series representations to classify
physiological data of different lengths. The representations may be applied to any group of …
physiological data of different lengths. The representations may be applied to any group of …
Computational modelling of cardiovascular pathophysiology to risk stratify commercial spaceflight
For more than 60 years, humans have travelled into space. Until now, the majority of
astronauts have been professional, government agency astronauts selected, in part, for their …
astronauts have been professional, government agency astronauts selected, in part, for their …
[HTML][HTML] Integrating monitor alarms with laboratory test results to enhance patient deterioration prediction
Patient monitors in modern hospitals have become ubiquitous but they generate an
excessive number of false alarms causing alarm fatigue. Our previous work showed that …
excessive number of false alarms causing alarm fatigue. Our previous work showed that …
Dynamic three-dimensional scoring of cerebral perfusion pressure and intracranial pressure provides a brain trauma index that predicts outcome in patients with …
S Kahraman, P Hu, DM Stein… - Journal of Trauma …, 2011 - journals.lww.com
Background: Data on intracranial pressure (ICP) and cerebral perfusion pressure (CPP)
guide therapy in severe traumatic brain injury (TBI), but current linear analytic methods are …
guide therapy in severe traumatic brain injury (TBI), but current linear analytic methods are …