[HTML][HTML] Role of artificial intelligence in patient safety outcomes: systematic literature review
Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …
patients and thus influence patient safety outcomes. Objective: The purpose of this …
A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records
There is a growing body of research focusing on automatic detection of ischemia and
myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI …
myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI …
Applying machine learning to continuously monitored physiological data
The use of machine learning (ML) in healthcare has enormous potential for improving
disease detection, clinical decision support, and workflow efficiencies. In this commentary …
disease detection, clinical decision support, and workflow efficiencies. In this commentary …
Reducing medical device alarms by an order of magnitude: a human factors approach
E Koomen, CS Webster, D Konrad… - … and intensive care, 2021 - journals.sagepub.com
The intensive care unit (ICU) is one of the most technically advanced environments in
healthcare, using a multitude of medical devices for drug administration, mechanical …
healthcare, using a multitude of medical devices for drug administration, mechanical …
Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks
This study proposes a deep learning model that effectively suppresses the false alarms in
the intensive care units (ICUs) without ignoring the true alarms using single-and multi-modal …
the intensive care units (ICUs) without ignoring the true alarms using single-and multi-modal …
Real‐time arrhythmia detection using hybrid convolutional neural networks
Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of
paramount significance in providing timely care. However, traditional ICU monitors generate …
paramount significance in providing timely care. However, traditional ICU monitors generate …
False alarm reduction in critical care
High false alarm rates in the ICU decrease quality of care by slowing staff response times
while increasing patient delirium through noise pollution. The 2015 PhysioNet/Computing in …
while increasing patient delirium through noise pollution. The 2015 PhysioNet/Computing in …
Representation learning approaches to detect false arrhythmia alarms from ecg dynamics
The high rate of intensive care unit false arrhythmia alarms can lead to disruption of care
and slow response time due to desensitization of clinical staff. We study the use of machine …
and slow response time due to desensitization of clinical staff. We study the use of machine …
Robots and Intelligent Medical Devices in the Intensive Care Unit: Vision, State of the Art, and Economic Analysis
Robotics is widely seen as a key enabling technology for the society of tomorrow. We
examine the role of robotics and intelligent medical devices in Intensive Care Medicine …
examine the role of robotics and intelligent medical devices in Intensive Care Medicine …
Game theoretic approach for systematic feature selection; application in false alarm detection in intensive care units
Intensive Care Units (ICUs) are equipped with many sophisticated sensors and monitoring
devices to provide the highest quality of care for critically ill patients. However, these devices …
devices to provide the highest quality of care for critically ill patients. However, these devices …