Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications

RP Singh, M Javaid, A Haleem, R Vaishya… - Journal of clinical …, 2020 - Elsevier
Abstract Internet of Medical Things (IoMT) is an innovative mean of amalgamating medical
devices and their applications to connect with the healthcare information technology …

Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective

ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

An effective training scheme for deep neural network in edge computing enabled Internet of medical things (IoMT) systems

IV Pustokhina, DA Pustokhin, D Gupta, A Khanna… - IEEE …, 2020 - ieeexplore.ieee.org
At present times, the real-time requirement on the multiaccess healthcare monitoring system,
information mining, and efficient disease diagnosis of health conditions is a difficult process …

Secure cloud storage for medical IoT data using adaptive neuro-fuzzy inference system

A Mohiyuddin, AR Javed, C Chakraborty… - International Journal of …, 2022 - Springer
Abstract Medical Internet of Things (MIoT) plays a vital role in improving people's health,
protection, and treatment. Rather than going to the hospital, it is possible to remotely track …

Enhancing healthcare security in the digital era: Safeguarding medical images with lightweight cryptographic techniques in IoT healthcare applications

AS Nadhan, IJ Jacob - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract The Internet of Things has allowed for the connectivity of medical imaging devices
to the healthcare sector's data backbone. This development, made possible by the IoT, will …

Survey on sensors and smart devices for IoT enabled intelligent healthcare system

SS Chopade, HP Gupta, T Dutta - Wireless Personal Communications, 2023 - Springer
Abstract The Internet of Things (IoT) in the healthcare system is rapidly changing from the
conventional hospital and concentrated specialist behavior to a distributed, patient-centric …

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey

Y Kumar, S Kaul, YC Hu - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …

Btc-fcnn: fast convolution neural network for multi-class brain tumor classification

BS Abd El-Wahab, ME Nasr, S Khamis… - … information science and …, 2023 - Springer
Timely prognosis of brain tumors has a crucial role for powerful healthcare of remedy-
making plans. Manual classification of the brain tumors in magnetic resonance imaging …

Toward 6G architecture for energy-efficient communication in IoT-enabled smart automation systems

AH Sodhro, S Pirbhulal, Z Luo… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Energy-efficient communication has become the center of attention from various
interdisciplinary fields, such as industrial automation, healthcare, and transportation, among …

DeformableGAN: Generating medical images with improved integrity for healthcare cyber physical systems

Z Shen, F Ding, A Jolfaei, K Yadav… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development of deep learning enables the production of new images via generative
adversarial networks (GANs). The GANs have now been widely applied in the industry as …