Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)
The outreach of healthcare services is a challenge to remote areas with affected
populations. Fortunately, remote health monitoring (RHM) has improved the hospital service …
populations. Fortunately, remote health monitoring (RHM) has improved the hospital service …
e-Diagnostic system for diabetes disease prediction on an IoMT environment-based hyper AdaBoost machine learning model
AA Jasim, LR Hazim, H Mohammedqasim… - The Journal of …, 2024 - Springer
One of the most fatal and serious diseases that humans have encountered is diabetes, an
illness affecting thousands of individuals yearly. In this era of digital systems, diabetes …
illness affecting thousands of individuals yearly. In this era of digital systems, diabetes …
Dynamic and Distributed Intelligence over Smart Devices, Internet of Things Edges, and Cloud Computing for Human Activity Recognition Using Wearable Sensors
A wide range of applications, including sports and healthcare, use human activity
recognition (HAR). The Internet of Things (IoT), using cloud systems, offers enormous …
recognition (HAR). The Internet of Things (IoT), using cloud systems, offers enormous …
Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems
The development of artificial intelligence (AI) has revolutionised the medical system,
empowering healthcare professionals to analyse complex nonlinear big data and identify …
empowering healthcare professionals to analyse complex nonlinear big data and identify …
Visible Light Communications for Healthcare Applications: Opportunities and Challenges
Visible Light Communication (VLC) technology is proposed as a promising solution that
uses light-emitting diodes (LEDs) to transmit data and illumination in the visible portion of …
uses light-emitting diodes (LEDs) to transmit data and illumination in the visible portion of …
Artificial Intelligence in Healthcare and Medical Records Security
NJ Herzog, D Celik, RB Sulaiman - Cybersecurity and Artificial …, 2024 - Springer
The digitisation of healthcare records continues to expand, and the security and privacy of
sensitive patient information become increasingly critical. By leveraging AI technologies …
sensitive patient information become increasingly critical. By leveraging AI technologies …
Social acceptance of artificial intelligence (AI) application for improving medical service diagnostics
The aim of the conducted research was to assess the attitude of the Polish society towards
the use of artificial intelligence in medical diagnostics. In the research process, we sought …
the use of artificial intelligence in medical diagnostics. In the research process, we sought …
Long-term care needs guidance for the implementation of digital health technologies
M Feenstra, SU Zuidema, SIM Janus - Age and Ageing, 2023 - academic.oup.com
Digital health technologies, including clinical decision support systems, wearables, off body
sensor technology and telemedicine, have become an integral part of today's healthcare …
sensor technology and telemedicine, have become an integral part of today's healthcare …
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects
Automatic assessment of impairment and disease severity is a key challenge in data-driven
medicine. We propose a novel framework to address this challenge, which leverages AI …
medicine. We propose a novel framework to address this challenge, which leverages AI …
Designing an Ethical and Secure Pain Estimation System Using AI Sandbox for Contactless Healthcare
Pain estimation in patients having communication difficulties is vital for preventing adverse
consequences such as misdiagnosis, delayed treatment, and increased suffering …
consequences such as misdiagnosis, delayed treatment, and increased suffering …