Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
shaping community health and overall quality of life. Traditional healthcare methods, often …
shaping community health and overall quality of life. Traditional healthcare methods, often …
The impact of evidence-based nursing leadership in healthcare settings: a mixed methods systematic review
M Välimäki, S Hu, T Lantta, K Hipp, J Varpula, J Chen… - BMC nursing, 2024 - Springer
Background The central component in impactful healthcare decisions is evidence.
Understanding how nurse leaders use evidence in their own managerial decision making is …
Understanding how nurse leaders use evidence in their own managerial decision making is …
Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN
Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …
information in a variety of sectors, including medical and education. E-learning has grown …
A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges and …
The current COVID-19 pandemic has affected almost every aspect of life but its impact on
the healthcare landscape is conspicuously adverse. However, digital technologies played a …
the healthcare landscape is conspicuously adverse. However, digital technologies played a …
[HTML][HTML] The applications of internet of things in smart healthcare sectors: a bibliometric and deep study
H Ziwei, Z Dongni, Z Man, D Yixin, Z Shuanghui… - Heliyon, 2024 - ncbi.nlm.nih.gov
The recent attention garnered by Internet of Things (IoT) technology for its potential to
alleviate challenges faced by healthcare systems, such as those resulting from an aging …
alleviate challenges faced by healthcare systems, such as those resulting from an aging …
A new cloud-based method for composition of healthcare services using deep reinforcement learning and Kalman filtering
Healthcare has significantly contributed to the well-being of individuals around the globe;
nevertheless, further benefits could be derived from a more streamlined healthcare system …
nevertheless, further benefits could be derived from a more streamlined healthcare system …
The applications of edge computing and the internet of things in the healthcare and medical sectors: A bibliometric analysis
H Ziwei, Z Dongni, Z Man, D Yixin, Z Shuanghui… - Heliyon, 2024 - cell.com
The recent attention garnered by Internet of Things (IoT) technology for its potential to
alleviate challenges faced by healthcare systems, such as those resulting from an aging …
alleviate challenges faced by healthcare systems, such as those resulting from an aging …
The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review
Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …
and the IoT within the healthcare domain. This domain addresses the emerging trends and …
A robust multimodal detection system: physical exercise monitoring in long-term care environments
N Al Mudawi, M Batool, A Alazeb… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction Falls are a major cause of accidents that can lead to serious injuries, especially
among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart …
among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart …
A self-predictive diagnosis system of liver failure based on multilayer neural networks
The lack of symptoms in the early stages of liver disease may cause wrong diagnosis of the
disease by many doctors and endanger the health of patients. Therefore, earlier and more …
disease by many doctors and endanger the health of patients. Therefore, earlier and more …