A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine.
Front Artif Intell
; 5: 1034732, 2022.
Article
in English
| MEDLINE | ID: covidwho-2199578
ABSTRACT
Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the society and will potentially have an everlasting impact for years to come. In response to this, over the past years, there have been a significant number of research efforts on exploring approaches to combat COVID-19. In this paper, we present a survey of the current research efforts on using mobile Internet of Thing (IoT) devices, Artificial Intelligence (AI), and telemedicine for COVID-19 detection and prediction. We first present the background and then present current research in this field. Specifically, we present the research on COVID-19 monitoring and detection, contact tracing, machine learning based approaches, telemedicine, and security. We finally discuss the challenges and the future work that lay ahead in this field before concluding this paper.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
/
Prognostic study
Language:
English
Journal:
Front Artif Intell
Year:
2022
Document Type:
Article
Affiliation country:
Frai.2022.1034732
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