Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management
Ambulatory monitoring is increasingly important for cardiovascular care but is often limited
by the unpredictability of cardiovascular events, the intermittent nature of ambulatory …
by the unpredictability of cardiovascular events, the intermittent nature of ambulatory …
Fully implantable wireless batteryless vascular electronics with printed soft sensors for multiplex sensing of hemodynamics
The continuous monitoring of hemodynamics attainable with wireless implantable devices
would improve the treatment of vascular diseases. However, demanding requirements of …
would improve the treatment of vascular diseases. However, demanding requirements of …
Clinical decision support systems for triage in the emergency department using intelligent systems: a review
Abstract Motivation Emergency Departments'(ED) modern triage systems implemented
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
Machine learning for clinical outcome prediction
Clinical decision-making in healthcare is already being influenced by predictions or
recommendations made by data-driven machines. Numerous machine learning applications …
recommendations made by data-driven machines. Numerous machine learning applications …
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU
Predicting in-hospital cardiac arrest in patients admitted to an intensive care unit (ICU)
allows prompt interventions to improve patient outcomes. We developed and validated a …
allows prompt interventions to improve patient outcomes. We developed and validated a …
Novel methods for pulse wave velocity measurement
T Pereira, C Correia, J Cardoso - Journal of medical and biological …, 2015 - Springer
The great incidence of cardiovascular (CV) diseases in the world spurs the search for new
solutions to enable an early detection of pathological processes and provides more precise …
solutions to enable an early detection of pathological processes and provides more precise …
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …
prioritizing patients into multi-emergency level is required to accommodate all the patients …
State‐of‐the‐art machine learning techniques aiming to improve patient outcomes pertaining to the cardiovascular system
With the digitization of all records and processes, and prevalence of cloud-driven services
and Internet of Things, today's era can truly be considered as an era of data. Machine …
and Internet of Things, today's era can truly be considered as an era of data. Machine …
Wireless Battery-free and Fully Implantable Organ Interfaces
Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-
free power supplies are resulting in a new generation of fully implantable organ interfaces …
free power supplies are resulting in a new generation of fully implantable organ interfaces …