Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities

S Baker, W **ang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

[HTML][HTML] Internet of medical things: A systematic review

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Abstract Internet of Medical Things (IoMT) refers to applying Internet of Things (IoT) into the
medical field. The IoMT enables a medical system to connect various smart devices, such as …

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

The internet of medical things and artificial intelligence: trends, challenges, and opportunities

K Kakhi, R Alizadehsani, HMD Kabir, A Khosravi… - Biocybernetics and …, 2022 - Elsevier
High quality and efficient medical service is one of the major factors defining living
standards. Developed countries strive to make their healthcare systems as efficient and cost …

Artificial intelligence and internet of things enabled disease diagnosis model for smart healthcare systems

RF Mansour, A El Amraoui, I Nouaouri, VG Díaz… - IEEE …, 2021 - ieeexplore.ieee.org
The recent advancements in Internet of Things (IoT), cloud computing, and Artificial
Intelligence (AI) transformed the conventional healthcare system into smart healthcare. By …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arxiv preprint arxiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

C Comito, C Pizzuti - Artificial intelligence in medicine, 2022 - Elsevier
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …

[HTML][HTML] Review of smart hospital services in real healthcare environments

H Kwon, S An, HY Lee, WC Cha… - Healthcare …, 2022 - synapse.koreamed.org
Objectives Smart hospitals involve the application of recent information and communications
technology (ICT) innovations to medical services; however, the concept of a smart hospital …

Federated learning for COVID-19 detection with generative adversarial networks in edge cloud computing

DC Nguyen, M Ding, PN Pathirana… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
COVID-19 has spread rapidly across the globe and become a deadly pandemic. Recently,
many artificial intelligence-based approaches have been used for COVID-19 detection, but …

Artificial intelligence-based solution for sorting COVID related medical waste streams and supporting data-driven decisions for smart circular economy practice

NM Kumar, MA Mohammed, KH Abdulkareem… - Process Safety and …, 2021 - Elsevier
Waste generation is a continuous process that needs to be managed effectively to ensure
environmental safety and public health. The recent circular economy (CE) practices have …