Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19

MA Sadique, S Yadav, R Khan… - Chemical Society …, 2024 - pubs.rsc.org
More than four years have passed since an inimitable coronavirus disease (COVID-19)
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …

IoT-based big data secure transmission and management over cloud system: A healthcare digital twin scenario

CL Stergiou, MP Koidou, KE Psannis - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) was introduced as a recently developed technology in the
telecommunications field. It is a network made up of real-world objects, things, and gadgets …

A medical image visualization technique assisted with AI-based haptic feedback for robotic surgery and healthcare

GM Minopoulos, VA Memos, KD Stergiou… - Applied Sciences, 2023 - mdpi.com
A lesson learned during the pandemic is that social distancing saves lives. As it was shown
recently, the healthcare industry is structured in a way that cannot protect medical staff from …

Interpretable machine learning for personalized medical recommendations: A LIME-based approach

Y Wu, L Zhang, UA Bhatti, M Huang - Diagnostics, 2023 - mdpi.com
Chronic diseases are increasingly major threats to older persons, seriously affecting their
physical health and well-being. Hospitals have accumulated a wealth of health-related data …

Simultaneous transmitting and reflecting-reconfigurable intelligent surface in 6G: Design guidelines and future perspectives

W Khalid, Z Kaleem, R Ullah, T Van Chien… - IEEE …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) have been considered as a promising technology
for the sixth-generation (6G) wireless networks that can control wireless channels in a …

Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques

L Li, J Yang, LY Por, MS Khan, R Hamdaoui, L Hussain… - Heliyon, 2024 - cell.com
Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Hybrid quantum–classical convolutional neural networks with privacy quantum computing

S Huang, Y Chang, Y Lin, S Zhang - Quantum Science and …, 2023 - iopscience.iop.org
Abstract Machine learning algorithms help us discover knowledge from big data. Data used
for training or prediction often contain private information about users. Discovering …

Analysis of the perception of health professionals regarding the incorporation of emerging technologies in their practice

MS Infantes, JMS Soto, MAA Montalvo… - Salud, Ciencia y …, 2023 - sct.ageditor.ar
Introduction: healthcare is currently in the midst of a technology-driven revolution. Emerging
technologies (ETs) are disrupting the practice of healthcare professionals in ways that once …

Improving big data governance in healthcare institutions: user experience research for honest broker based application to access healthcare big data

K Singh, S Li, I Jahnke, ML Alarcon… - Behaviour & …, 2024 - Taylor & Francis
Data users (researchers, scientists) in healthcare institutions need access to integrated
healthcare data to conduct timely analysis of diseases to serve the right population at the …

An Intelligent IoT-Based Smart Healthcare Monitoring System Using Machine Learning

R Krishnamoorthy, M Gupta, G Swathi… - 5G-Based Smart …, 2023 - taylorfrancis.com
One of the most significant phases of human life is health. Every society is paying more
consideration to and implementing knowledge in the areas of health and healthcare …