[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature

D Golinelli, E Boetto, G Carullo, AG Nuzzolese… - Journal of medical …, 2020 - jmir.org
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …

Towards development of IoT-ML driven healthcare systems: A survey

NS Sworna, AKMM Islam, S Shatabda… - Journal of Network and …, 2021 - Elsevier
The impact of IoT-ML in the healthcare sector is very significant and it has helped us to
change our view at the traditional treatment methods. In IoT-ML-based healthcare …

Trends in IoT based solutions for health care: Moving AI to the edge

L Greco, G Percannella, P Ritrovato, F Tortorella… - Pattern recognition …, 2020 - Elsevier
In recent times, we assist to an ever growing diffusion of smart medical sensors and Internet
of things devices that are heavily changing the way healthcare is approached worldwide. In …

Edge intelligence and Internet of Things in healthcare: A survey

SU Amin, MS Hossain - Ieee Access, 2020 - ieeexplore.ieee.org
With the advent of new technologies and the fast pace of human life, patients today require a
sophisticated and advanced smart healthcare framework that is tailored to suit their …

A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic

A Sufian, A Ghosh, AS Sadiq… - Journal of Systems …, 2020 - Elsevier
Global Health sometimes faces pandemics as are currently facing COVID-19 disease. The
spreading and infection factors of this disease are very high. A huge number of people from …

Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

A Syrowatka, M Kuznetsova, A Alsubai… - NPJ digital …, 2021 - nature.com
Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …

Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

A Motwani, PK Shukla, M Pawar - Artificial Intelligence in Medicine, 2022 - Elsevier
During the COVID-19 pandemic, the patient care delivery paradigm rapidly shifted to remote
technological solutions. Rising rates of life expectancy of older people, and deaths due to …

How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a literature review

D Golinelli, E Boetto, G Carullo, AG Nuzzolese… - MedRxiv, 2020 - medrxiv.org
Background Healthcare is responding to the COVID-19 pandemic through the fast adoption
of digital solutions and advanced technology tools. The aim of this study is to describe which …

Multispectral video fusion for non-contact monitoring of respiratory rate and apnea

G Scebba, G Da Poian, W Karlen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Continuous monitoring of respiratory activity is desirable in many clinical applications to
detect respiratory events. Non-contact monitoring of respiration can be achieved with near …

Development of edge-IoMT computing architecture for smart healthcare monitoring platform

Ç Dilibal - 2020 4th International Symposium on …, 2020 - ieeexplore.ieee.org
The age of virtual healthcare has created new opportunities to reconsider traditional
methods for the preliminary medical examinations and clinical doctor-patient appointments …