Intensive care unit telemedicine in the era of big data, artificial intelligence, and computer clinical decision support systems
Over the last half-century, the telemedicine intensive care unit (tele-ICU) has grown from a
daily video conference to a comprehensive high-bandwidth system connecting more than …
daily video conference to a comprehensive high-bandwidth system connecting more than …
[HTML][HTML] Clinical requirements of future patient monitoring in the intensive care unit: qualitative study
AS Poncette, C Spies, L Mosch… - JMIR medical …, 2019 - medinform.jmir.org
Background: In the intensive care unit (ICU), continuous patient monitoring is essential to
detect critical changes in patients' health statuses and to guide therapy. The implementation …
detect critical changes in patients' health statuses and to guide therapy. The implementation …
IILS: Intelligent imaging layout system for automatic imaging report standardization and intra-interdisciplinary clinical workflow optimization
Background To achieve imaging report standardization and improve the quality and
efficiency of the intra-interdisciplinary clinical workflow, we proposed an intelligent imaging …
efficiency of the intra-interdisciplinary clinical workflow, we proposed an intelligent imaging …
Predictive risk score for unplanned 30-day rehospitalizations in the French universal health care system based on a medico-administrative database
Background Reducing unplanned rehospitalizations is one of the priorities of health care
policies in France and other Western countries. An easy-to-use algorithm for identifying …
policies in France and other Western countries. An easy-to-use algorithm for identifying …
Machine learning for early prediction of circulatory failure in the intensive care unit
Intensive care clinicians are presented with large quantities of patient information and
measurements from a multitude of monitoring systems. The limited ability of humans to …
measurements from a multitude of monitoring systems. The limited ability of humans to …
[PDF][PDF] Intensive care unit (ICU) data analytics using machine learning techniques
The huge amount of clinical signals and measurements in Intensive Care Units (ICU) will
simply overwhelm the person responsible for healthcare support and may cause treatment …
simply overwhelm the person responsible for healthcare support and may cause treatment …
[PDF][PDF] Hypothesis: Is “terminator syndrome” a barrier to democratizing artificial intelligence and public engagement in digital health
C Garvey - OMICS: A Journal of Integrative Biology, 2019 - shunryugarvey.com
To the Editor: Artificial Intelligence (AI) is a hot topic in digital health, as automated systems
are being adopted in doctors' offices and hospitals, impacting everything from medical …
are being adopted in doctors' offices and hospitals, impacting everything from medical …
[PDF][PDF] Decision tree analysis to improve e-mail marketing campaigns
The efficiency of e-mail campaigns is a big challenge for any ecommerce venture in terms of
the response rate of e-mail campaigns and customer segmentation based on loyalty …
the response rate of e-mail campaigns and customer segmentation based on loyalty …
Machine learning prediction of motor response after deep brain stimulation in Parkinson's disease
Introduction Despite careful patient selection for subthalamic nucleus deep brain stimulation
(STN DBS), some Parkinson's disease patients show limited improvement of motor disability …
(STN DBS), some Parkinson's disease patients show limited improvement of motor disability …
Acute changes in preload and the QRS amplitude in advanced heart failure patients
To date, only invasive monitoring methods are available for continuous monitoring of the
volume status of heart failure (HF) patients. The literature suggests that left ventricular (LV) …
volume status of heart failure (HF) patients. The literature suggests that left ventricular (LV) …