Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)

RK Sheu, YC Lin, MS Pardeshi, CY Huang, KC Pai… - Sensors, 2023 - mdpi.com
The outreach of healthcare services is a challenge to remote areas with affected
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 …

Dynamic and Distributed Intelligence over Smart Devices, Internet of Things Edges, and Cloud Computing for Human Activity Recognition Using Wearable Sensors

A Wazwaz, K Amin, N Semary, T Ghanem - Journal of Sensor and …, 2024 - mdpi.com
A wide range of applications, including sports and healthcare, use human activity
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

W Hussain, M Mabrok, H Gao, FA Rabhi… - Digital …, 2024 - journals.sagepub.com
The development of artificial intelligence (AI) has revolutionised the medical system,
empowering healthcare professionals to analyse complex nonlinear big data and identify …

Visible Light Communications for Healthcare Applications: Opportunities and Challenges

S Caputo, G Borghini, S Jayousi… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
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 …

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 …

Social acceptance of artificial intelligence (AI) application for improving medical service diagnostics

J Ejdys, M Czerwińska, R Ginevičius - Human Technology, 2024 - ht.csr-pub.eu
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 …

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 …

Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects

B Yu, A Kaku, K Liu, A Parnandi, E Fokas… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Designing an Ethical and Secure Pain Estimation System Using AI Sandbox for Contactless Healthcare

UA Khan, A Alamäki - 2023 - theseus.fi
Pain estimation in patients having communication difficulties is vital for preventing adverse
consequences such as misdiagnosis, delayed treatment, and increased suffering …