New opportunities, challenges, and applications of edge-AI for connected healthcare in smart cities

MM Kamruzzaman - 2021 IEEE Globecom Workshops (GC …, 2021 - ieeexplore.ieee.org
Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), edge …

[Retracted] New Opportunities, Challenges, and Applications of Edge‐AI for Connected Healthcare in Internet of Medical Things for Smart Cities

MM Kamruzzaman, I Alrashdi… - Journal of Healthcare …, 2022 - Wiley Online Library
Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …

A comprehensive review on smart health care: applications, paradigms, and challenges with case studies

S Saba Raoof, MAS Durai - Contrast Media & Molecular …, 2022 - Wiley Online Library
Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …

Healthcare 5.0: A paradigm shift in digital healthcare system using artificial intelligence, IOT and 5G communication

B Mohanta, P Das, S Patnaik - 2019 International conference on …, 2019 - ieeexplore.ieee.org
The induction of Artificial Intelligence (AI) concept with the application of smart intelligent
devices and adoption of high-speed data transmission networking techniques in healthcare …

Edge-assisted solutions for IoT-based connected healthcare systems: A literature review

V Hayyolalam, M Aloqaily, Ö Özkasap… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
With the rapid growth of edge-assisted solutions in Internet of Things (IoT) networks,
connected healthcare progressively relies on such solutions. This refers to systems in which …

Future aspect of 5G-IoT architecture in smart healthcare system

N Gupta, PK Juneja, S Sharma… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The conventional healthcare system needs more human intervention with healthcare
devices, equipment, and patient monitoring. Healthcare is therefore going through an …

IOT big data analytics in healthcare: benefits and challenges

K Kaur, S Verma, A Bansal - 2021 6th international conference …, 2021 - ieeexplore.ieee.org
Medical data is being generated from a wide variety of sources today, including smart
phones, wearable sensors, patient records, clinical reports, researchers, healthcare …

AI-enabled framework for fog computing driven e-healthcare applications

AH Sodhro, N Zahid - Sensors, 2021 - mdpi.com
Artificial Intelligence (AI) is the revolutionary paradigm to empower sixth generation (6G)
edge computing based e-healthcare for everyone. Thus, this research aims to promote an AI …

Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions

S Krishnamoorthy, A Dua, S Gupta - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Since its inception, Healthcare 4.0 has empowered the integration of advanced
technologies to create and improve the quality of healthcare services. The delivery of …

A survey on iot smart healthcare: Emerging technologies, applications, challenges, and future trends

MA Tunc, E Gures, I Shayea - arXiv preprint arXiv:2109.02042, 2021 - arxiv.org
The internet of things (IoT) refers to a framework of interrelated, web associated objects that
can gather and move information over a remote network without human interference. With a …