Cargando…
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic
The advancement of technology remained an immersive interest for humankind throughout the past decades. Tech enterprises offered a stream of innovation to address the universal healthcare concerns. The novel coronavirus holds a substantial foothold of planet earth which is combatted by digital inter...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123377/ https://www.ncbi.nlm.nih.gov/pubmed/34082281 http://dx.doi.org/10.1016/j.compmedimag.2021.101933 |
_version_ | 1783692887310991360 |
---|---|
author | Alhasan, Mustafa Hasaneen, Mohamed |
author_facet | Alhasan, Mustafa Hasaneen, Mohamed |
author_sort | Alhasan, Mustafa |
collection | PubMed |
description | The advancement of technology remained an immersive interest for humankind throughout the past decades. Tech enterprises offered a stream of innovation to address the universal healthcare concerns. The novel coronavirus holds a substantial foothold of planet earth which is combatted by digital interventions across afflicted geographical boundaries and territories. This study aims to explore the trends of modern healthcare technologies and Artificial Intelligence (AI) during COVID-19 crisis, define the concepts and clinical role of AI in the mitigation of COVID-19, investigate and correlate the efficacy of AI-enabled technology in medical imaging during COVID-19 and determine advantages, drawbacks, and challenges of artificial intelligence during COVID-19 pandemic. The paper applied systematic review approach using a deliberated research protocol and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart. Digital technologies can coordinate COVID-19 responses in a cascade fashion that extends from the clinical care facility to the exterior of the pending viral epicenter. With cases of healthcare robotics, aerial drones, and the internet of things as evidentiary examples. PCR tests and medical imaging are the frontier diagnostics of COVID-19. Computed tomography helped to correct the accuracy variation of PCR tests at a clinical sensitivity of 98 %. Artificial intelligence can enable autonomous COVID-19 responses using techniques like machine learning. Technology could be an endless system of innovation and opportunities when sourced effectively. Scientists can utilize technology to resolve global concerns challenging the history of tangible possibility. Digital interventions have enhanced the responses to COVID-19, magnified the role of medical imaging amid the COVID-19 crisis and have exposed healthcare professionals to the opportunity of contactless care. |
format | Online Article Text |
id | pubmed-8123377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81233772021-05-17 Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic Alhasan, Mustafa Hasaneen, Mohamed Comput Med Imaging Graph Article The advancement of technology remained an immersive interest for humankind throughout the past decades. Tech enterprises offered a stream of innovation to address the universal healthcare concerns. The novel coronavirus holds a substantial foothold of planet earth which is combatted by digital interventions across afflicted geographical boundaries and territories. This study aims to explore the trends of modern healthcare technologies and Artificial Intelligence (AI) during COVID-19 crisis, define the concepts and clinical role of AI in the mitigation of COVID-19, investigate and correlate the efficacy of AI-enabled technology in medical imaging during COVID-19 and determine advantages, drawbacks, and challenges of artificial intelligence during COVID-19 pandemic. The paper applied systematic review approach using a deliberated research protocol and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart. Digital technologies can coordinate COVID-19 responses in a cascade fashion that extends from the clinical care facility to the exterior of the pending viral epicenter. With cases of healthcare robotics, aerial drones, and the internet of things as evidentiary examples. PCR tests and medical imaging are the frontier diagnostics of COVID-19. Computed tomography helped to correct the accuracy variation of PCR tests at a clinical sensitivity of 98 %. Artificial intelligence can enable autonomous COVID-19 responses using techniques like machine learning. Technology could be an endless system of innovation and opportunities when sourced effectively. Scientists can utilize technology to resolve global concerns challenging the history of tangible possibility. Digital interventions have enhanced the responses to COVID-19, magnified the role of medical imaging amid the COVID-19 crisis and have exposed healthcare professionals to the opportunity of contactless care. Elsevier Ltd. 2021-07 2021-05-15 /pmc/articles/PMC8123377/ /pubmed/34082281 http://dx.doi.org/10.1016/j.compmedimag.2021.101933 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Alhasan, Mustafa Hasaneen, Mohamed Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic |
title | Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic |
title_full | Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic |
title_fullStr | Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic |
title_full_unstemmed | Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic |
title_short | Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic |
title_sort | digital imaging, technologies and artificial intelligence applications during covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123377/ https://www.ncbi.nlm.nih.gov/pubmed/34082281 http://dx.doi.org/10.1016/j.compmedimag.2021.101933 |
work_keys_str_mv | AT alhasanmustafa digitalimagingtechnologiesandartificialintelligenceapplicationsduringcovid19pandemic AT hasaneenmohamed digitalimagingtechnologiesandartificialintelligenceapplicationsduringcovid19pandemic |