Role of digital technologies to combat COVID-19 pandemic
Purpose The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health Organization. The effect of the COVID-19 outbreak, previously experienced by China’s citizens alone, has no...
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| Veröffentlicht in: | World journal of engineering 2022-02, Vol.19 (1), p.72-79 |
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| creator | Rajendran, Ratchana Piali, Biswas Chandrakala, Panguluri Gampala, Veerraju Majji, Sankararao |
| description | Purpose
The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health Organization. The effect of the COVID-19 outbreak, previously experienced by China’s citizens alone, has now become more pronounced. For practically every nation in the world, this is a matter of grave concern. The lack of assets to withstand the infection of COVID-19, mixed with the perception of overwhelmed medical mechanisms, pressured a number of places in a state of partial or absolute lockdown.
Design/methodology/approach
The medical photos such as computed tomography (CT) and X-ray playa key role in the worldwide battle against COVID-19, while artificial intelligence (AI) has recently appeared. The power of imaging is further increased by technology tools and support for medical specialists. In comparison to the related direct health effects because of the COVID-19 disaster, this research identifies its impacts on the overall society.
Findings
This paper hereby examines the rapid answers in the medical imaging community toward COVID-19 (empowered by AI). For example, the acquisition of AI-empowered images will significantly assist automate the scanning process and reshape the procedure as well. AI, too, may improve the quality of the job by correctly delineating X-ray and CT image infections, promoting subsequent infections, quantification. In addition, computer-aided platforms support radiologists make medical choices, i.e. for illness tracking, diagnosis and prognosis.
Originality/value
This research encompasses the whole medical imaging pipeline and methods for research related to COVID-19, include a collection of images, segmentation, diagnosis and monitoring. In drawing stuff to minimize the effects of the COVID-19 epidemic, this paper is investigating the use of technologies such as the internet of things, unmanned aerial vehicles, blockchain, AI, big data and 5G. |
| doi_str_mv | 10.1108/WJE-01-2021-0043 |
| format | Article |
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The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health Organization. The effect of the COVID-19 outbreak, previously experienced by China’s citizens alone, has now become more pronounced. For practically every nation in the world, this is a matter of grave concern. The lack of assets to withstand the infection of COVID-19, mixed with the perception of overwhelmed medical mechanisms, pressured a number of places in a state of partial or absolute lockdown.
Design/methodology/approach
The medical photos such as computed tomography (CT) and X-ray playa key role in the worldwide battle against COVID-19, while artificial intelligence (AI) has recently appeared. The power of imaging is further increased by technology tools and support for medical specialists. In comparison to the related direct health effects because of the COVID-19 disaster, this research identifies its impacts on the overall society.
Findings
This paper hereby examines the rapid answers in the medical imaging community toward COVID-19 (empowered by AI). For example, the acquisition of AI-empowered images will significantly assist automate the scanning process and reshape the procedure as well. AI, too, may improve the quality of the job by correctly delineating X-ray and CT image infections, promoting subsequent infections, quantification. In addition, computer-aided platforms support radiologists make medical choices, i.e. for illness tracking, diagnosis and prognosis.
Originality/value
This research encompasses the whole medical imaging pipeline and methods for research related to COVID-19, include a collection of images, segmentation, diagnosis and monitoring. In drawing stuff to minimize the effects of the COVID-19 epidemic, this paper is investigating the use of technologies such as the internet of things, unmanned aerial vehicles, blockchain, AI, big data and 5G.</description><identifier>ISSN: 1708-5284</identifier><identifier>EISSN: 1708-5284</identifier><identifier>DOI: 10.1108/WJE-01-2021-0043</identifier><language>eng</language><publisher>Brentwood: Emerald Publishing Limited</publisher><subject>Artificial intelligence ; Computed tomography ; Coronaviruses ; COVID-19 ; Cryptography ; Diagnosis ; Epidemics ; Image acquisition ; Image segmentation ; Internet of Things ; Medical imaging ; Medical research ; Pandemics ; Unmanned aerial vehicles ; Viral diseases</subject><ispartof>World journal of engineering, 2022-02, Vol.19 (1), p.72-79</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c311t-6b105e972824c2428fef4d0fa5d583ac2ad874de945abe7c7d1e218d574a08173</citedby><cites>FETCH-LOGICAL-c311t-6b105e972824c2428fef4d0fa5d583ac2ad874de945abe7c7d1e218d574a08173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/WJE-01-2021-0043/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,21694,27923,27924,53243</link.rule.ids></links><search><creatorcontrib>Rajendran, Ratchana</creatorcontrib><creatorcontrib>Piali, Biswas</creatorcontrib><creatorcontrib>Chandrakala, Panguluri</creatorcontrib><creatorcontrib>Gampala, Veerraju</creatorcontrib><creatorcontrib>Majji, Sankararao</creatorcontrib><title>Role of digital technologies to combat COVID-19 pandemic</title><title>World journal of engineering</title><description>Purpose
The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health Organization. The effect of the COVID-19 outbreak, previously experienced by China’s citizens alone, has now become more pronounced. For practically every nation in the world, this is a matter of grave concern. The lack of assets to withstand the infection of COVID-19, mixed with the perception of overwhelmed medical mechanisms, pressured a number of places in a state of partial or absolute lockdown.
Design/methodology/approach
The medical photos such as computed tomography (CT) and X-ray playa key role in the worldwide battle against COVID-19, while artificial intelligence (AI) has recently appeared. The power of imaging is further increased by technology tools and support for medical specialists. In comparison to the related direct health effects because of the COVID-19 disaster, this research identifies its impacts on the overall society.
Findings
This paper hereby examines the rapid answers in the medical imaging community toward COVID-19 (empowered by AI). For example, the acquisition of AI-empowered images will significantly assist automate the scanning process and reshape the procedure as well. AI, too, may improve the quality of the job by correctly delineating X-ray and CT image infections, promoting subsequent infections, quantification. In addition, computer-aided platforms support radiologists make medical choices, i.e. for illness tracking, diagnosis and prognosis.
Originality/value
This research encompasses the whole medical imaging pipeline and methods for research related to COVID-19, include a collection of images, segmentation, diagnosis and monitoring. In drawing stuff to minimize the effects of the COVID-19 epidemic, this paper is investigating the use of technologies such as the internet of things, unmanned aerial vehicles, blockchain, AI, big data and 5G.</description><subject>Artificial intelligence</subject><subject>Computed tomography</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cryptography</subject><subject>Diagnosis</subject><subject>Epidemics</subject><subject>Image acquisition</subject><subject>Image segmentation</subject><subject>Internet of Things</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Pandemics</subject><subject>Unmanned aerial vehicles</subject><subject>Viral diseases</subject><issn>1708-5284</issn><issn>1708-5284</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkE1LAzEQhoMoWGrvHgOeY2eyySY9Sq1aKRTEj2NIk2zdstvUZHvw33dLPSg4l5nD-8wMDyHXCLeIoMcfzzMGyDhwZACiOCMDVKCZ5Fqc_5ovySjnDfQlSo6qGBD9EptAY0V9va4729AuuM9tbOK6Dpl2kbrYrmxHp8v3-T3DCd3ZrQ9t7a7IRWWbHEY_fUjeHmav0ye2WD7Op3cL5grEjpUrBBkmimsuHBdcV6ESHiorvdSFddx6rYQPEyHtKiinPAaO2kslLOj-xSG5Oe3dpfi1D7kzm7hP2_6k4QpLXcoSZJ-CU8qlmHMKldmlurXp2yCYoyLTKzKA5qjIHBX1yPiEhDYk2_j_iD9SiwM-9WRt</recordid><startdate>20220222</startdate><enddate>20220222</enddate><creator>Rajendran, Ratchana</creator><creator>Piali, Biswas</creator><creator>Chandrakala, Panguluri</creator><creator>Gampala, Veerraju</creator><creator>Majji, Sankararao</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20220222</creationdate><title>Role of digital technologies to combat COVID-19 pandemic</title><author>Rajendran, Ratchana ; Piali, Biswas ; Chandrakala, Panguluri ; Gampala, Veerraju ; Majji, Sankararao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-6b105e972824c2428fef4d0fa5d583ac2ad874de945abe7c7d1e218d574a08173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Artificial intelligence</topic><topic>Computed tomography</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Cryptography</topic><topic>Diagnosis</topic><topic>Epidemics</topic><topic>Image acquisition</topic><topic>Image segmentation</topic><topic>Internet of Things</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Pandemics</topic><topic>Unmanned aerial vehicles</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rajendran, Ratchana</creatorcontrib><creatorcontrib>Piali, Biswas</creatorcontrib><creatorcontrib>Chandrakala, Panguluri</creatorcontrib><creatorcontrib>Gampala, Veerraju</creatorcontrib><creatorcontrib>Majji, Sankararao</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>World journal of engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rajendran, Ratchana</au><au>Piali, Biswas</au><au>Chandrakala, Panguluri</au><au>Gampala, Veerraju</au><au>Majji, Sankararao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Role of digital technologies to combat COVID-19 pandemic</atitle><jtitle>World journal of engineering</jtitle><date>2022-02-22</date><risdate>2022</risdate><volume>19</volume><issue>1</issue><spage>72</spage><epage>79</epage><pages>72-79</pages><issn>1708-5284</issn><eissn>1708-5284</eissn><abstract>Purpose
The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health Organization. The effect of the COVID-19 outbreak, previously experienced by China’s citizens alone, has now become more pronounced. For practically every nation in the world, this is a matter of grave concern. The lack of assets to withstand the infection of COVID-19, mixed with the perception of overwhelmed medical mechanisms, pressured a number of places in a state of partial or absolute lockdown.
Design/methodology/approach
The medical photos such as computed tomography (CT) and X-ray playa key role in the worldwide battle against COVID-19, while artificial intelligence (AI) has recently appeared. The power of imaging is further increased by technology tools and support for medical specialists. In comparison to the related direct health effects because of the COVID-19 disaster, this research identifies its impacts on the overall society.
Findings
This paper hereby examines the rapid answers in the medical imaging community toward COVID-19 (empowered by AI). For example, the acquisition of AI-empowered images will significantly assist automate the scanning process and reshape the procedure as well. AI, too, may improve the quality of the job by correctly delineating X-ray and CT image infections, promoting subsequent infections, quantification. In addition, computer-aided platforms support radiologists make medical choices, i.e. for illness tracking, diagnosis and prognosis.
Originality/value
This research encompasses the whole medical imaging pipeline and methods for research related to COVID-19, include a collection of images, segmentation, diagnosis and monitoring. In drawing stuff to minimize the effects of the COVID-19 epidemic, this paper is investigating the use of technologies such as the internet of things, unmanned aerial vehicles, blockchain, AI, big data and 5G.</abstract><cop>Brentwood</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/WJE-01-2021-0043</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1708-5284 |
| ispartof | World journal of engineering, 2022-02, Vol.19 (1), p.72-79 |
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| source | Standard: Emerald eJournal Premier Collection |
| subjects | Artificial intelligence Computed tomography Coronaviruses COVID-19 Cryptography Diagnosis Epidemics Image acquisition Image segmentation Internet of Things Medical imaging Medical research Pandemics Unmanned aerial vehicles Viral diseases |
| title | Role of digital technologies to combat COVID-19 pandemic |
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