Artificial intelligence in telemetry: What clinicians should know
A 60-year-old woman is brought to the emergency department following an out-of-hospital
cardiac arrest with non-shockable rhythm. Return of spontaneous circulation was achieved …
cardiac arrest with non-shockable rhythm. Return of spontaneous circulation was achieved …
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 …
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Critical care patients are monitored closely through the course of their illness. As a result of
this monitoring, large amounts of data are routinely collected for these patients. Philips …
this monitoring, large amounts of data are routinely collected for these patients. Philips …
Temporal pattern recognition in multiparameter ICU data
M Saeed - 2007 - dspace.mit.edu
Intensive Care Unit (ICU) patients are physiologically fragile and require vigilant monitoring
and support. The myriad of data gathered from biosensors and clinical information systems …
and support. The myriad of data gathered from biosensors and clinical information systems …
Predictive modeling using artificial intelligence and machine learning algorithms on electronic health record data: advantages and challenges
MJ Patton, VX Liu - Critical Care Clinics, 2023 - criticalcare.theclinics.com
Starting in 2008, the adoption of electronic health records (EHR) in US hospitals has grown
exponentially from 9% to 96% of hospitals, while also exhibiting substantial uptake in …
exponentially from 9% to 96% of hospitals, while also exhibiting substantial uptake in …
Leveraging data science and novel technologies to develop and implement precision medicine strategies in critical care
LN Sanchez-Pinto, SV Bhavani… - Critical Care …, 2023 - criticalcare.theclinics.com
Heterogeneity is a pervasive feature of critical illness syndromes. Patients in the intensive
care unit (ICU) are injured or develop critical illness for a plethora of reasons. On any given …
care unit (ICU) are injured or develop critical illness for a plethora of reasons. On any given …
Data Collection and Analysis in the ICU
JK Mann, F Kaffashi, B Vandendriessche… - … : Translating Raw Data …, 2020 - Springer
Data in the intensive care unit (ICU) can be broadly categorized as “phenotypic” and
“physiologic.” Examples of “phenotypic” data include demographics, age, sex, laboratory …
“physiologic.” Examples of “phenotypic” data include demographics, age, sex, laboratory …
Challenges of heart rate variability research in the ICU
PK Stein - Critical care medicine, 2013 - journals.lww.com
The amount of long-term, multichannel ICU patient data that could potentially be archived
and analyzed continues to mushroom with the growth of high-volume data acquisition and …
and analyzed continues to mushroom with the growth of high-volume data acquisition and …
Medical technology in the intensive care unit
DC Scales, WJ Sibbald - Current Opinion in Critical Care, 2004 - journals.lww.com
“Medical technology” is an ambiguous term that has been used to describe interventions for
prevention and rehabilitation, vaccines, pharmaceuticals, monitoring and therapeutic …
prevention and rehabilitation, vaccines, pharmaceuticals, monitoring and therapeutic …
Diffusing an innovation: clinician perceptions of continuous predictive analytics monitoring in intensive care
RR Kitzmiller, A Vaughan… - Applied clinical …, 2019 - thieme-connect.com
Background The purpose of this article is to describe neonatal intensive care unit clinician
perceptions of a continuous predictive analytics technology and how those perceptions …
perceptions of a continuous predictive analytics technology and how those perceptions …