Intensive care unit telemedicine in the era of big data, artificial intelligence, and computer clinical decision support systems

RD Kindle, O Badawi, LA Celi… - Critical care …, 2019 - criticalcare.theclinics.com
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 …

[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 …

IILS: Intelligent imaging layout system for automatic imaging report standardization and intra-interdisciplinary clinical workflow optimization

Y Wang, F Yan, X Lu, G Zheng, X Zhang, C Wang… - …, 2019 - thelancet.com
Background To achieve imaging report standardization and improve the quality and
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

V Pauly, H Mendizabal, S Gentile, P Auquier, L Boyer - PLoS One, 2019 - journals.plos.org
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 …

Machine learning for early prediction of circulatory failure in the intensive care unit

SL Hyland, M Faltys, M Hüser, X Lyu… - arXiv preprint arXiv …, 2019 - arxiv.org
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 …

[PDF][PDF] Intensive care unit (ICU) data analytics using machine learning techniques

Z Rayan, M Alfonse, ABM Salem - Int J Inf Theor Appl, 2019 - researchgate.net
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 …

[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 …

[PDF][PDF] Decision tree analysis to improve e-mail marketing campaigns

H Qabbaah, G Sammour, K Vanhoof, A Voronin… - International Journal of …, 2019 - foibg.com
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 …

Machine learning prediction of motor response after deep brain stimulation in Parkinson's disease

J Habets, A Duits, L Sijben, B De Greef, A Mulders… - Medrxiv, 2019 - medrxiv.org
Introduction Despite careful patient selection for subthalamic nucleus deep brain stimulation
(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

SA Dual, P Pergantis, F Schoenrath… - Biomedical Physics …, 2019 - iopscience.iop.org
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) …