Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285014375> ?p ?o ?g. }
- W4285014375 endingPage "105184" @default.
- W4285014375 startingPage "105184" @default.
- W4285014375 abstract "As a new technology, artificial intelligence (AI) has recently received increasing attention from researchers and has been successfully applied to many domains. Currently, the outbreak of the COVID-19 pandemic has not only put people’s lives in jeopardy but has also interrupted social activities and stifled economic growth. Artificial intelligence, as the most cutting-edge science field, is critical in the fight against the pandemic. To respond scientifically to major emergencies like COVID-19, this article reviews the use of artificial intelligence in the combat against the pandemic from COVID-19 large data, intelligent devices and systems, and intelligent robots. This article’s primary contributions are in two aspects: (1) we summarized the applications of AI in the pandemic, including virus spreading prediction, patient diagnosis, vaccine development, excluding potential virus carriers, telemedicine service, economic recovery, material distribution, disinfection, and health care. (2) We concluded the faced challenges during the AI-based pandemic prevention process, including multidimensional data, sub-intelligent algorithms, and unsystematic, and discussed corresponding solutions, such as 5G, cloud computing, and unsupervised learning algorithms. This article systematically surveyed the applications and challenges of AI technology during the pandemic, which is of great significance to promote the development of AI technology and can serve as a new reference for future emergencies." @default.
- W4285014375 created "2022-07-12" @default.
- W4285014375 creator A5003759585 @default.
- W4285014375 creator A5025640070 @default.
- W4285014375 creator A5026310549 @default.
- W4285014375 creator A5063003474 @default.
- W4285014375 creator A5065039433 @default.
- W4285014375 creator A5084391120 @default.
- W4285014375 date "2022-09-01" @default.
- W4285014375 modified "2023-10-02" @default.
- W4285014375 title "Review on the COVID-19 pandemic prevention and control system based on AI" @default.
- W4285014375 cites W1989596494 @default.
- W4285014375 cites W2054692642 @default.
- W4285014375 cites W2154611004 @default.
- W4285014375 cites W2730780157 @default.
- W4285014375 cites W2735550156 @default.
- W4285014375 cites W2737889100 @default.
- W4285014375 cites W2738724892 @default.
- W4285014375 cites W2767547957 @default.
- W4285014375 cites W2785694006 @default.
- W4285014375 cites W2800960276 @default.
- W4285014375 cites W2887260263 @default.
- W4285014375 cites W2942231644 @default.
- W4285014375 cites W2965118797 @default.
- W4285014375 cites W2972497960 @default.
- W4285014375 cites W3003573988 @default.
- W4285014375 cites W3004906315 @default.
- W4285014375 cites W3005212621 @default.
- W4285014375 cites W3008401431 @default.
- W4285014375 cites W3009063690 @default.
- W4285014375 cites W3009468976 @default.
- W4285014375 cites W3009876049 @default.
- W4285014375 cites W3010233963 @default.
- W4285014375 cites W3011149445 @default.
- W4285014375 cites W3012600720 @default.
- W4285014375 cites W3012780255 @default.
- W4285014375 cites W3012991084 @default.
- W4285014375 cites W3013489453 @default.
- W4285014375 cites W3013601031 @default.
- W4285014375 cites W3013633552 @default.
- W4285014375 cites W3013660050 @default.
- W4285014375 cites W3013758358 @default.
- W4285014375 cites W3015771386 @default.
- W4285014375 cites W3015829205 @default.
- W4285014375 cites W3016802478 @default.
- W4285014375 cites W3017117984 @default.
- W4285014375 cites W3017671092 @default.
- W4285014375 cites W3018732852 @default.
- W4285014375 cites W3019283372 @default.
- W4285014375 cites W3020653337 @default.
- W4285014375 cites W3021613067 @default.
- W4285014375 cites W3022974266 @default.
- W4285014375 cites W3023230016 @default.
- W4285014375 cites W3023558619 @default.
- W4285014375 cites W3025352604 @default.
- W4285014375 cites W3025964831 @default.
- W4285014375 cites W3026930841 @default.
- W4285014375 cites W3027560633 @default.
- W4285014375 cites W3031418103 @default.
- W4285014375 cites W3032750293 @default.
- W4285014375 cites W3034257622 @default.
- W4285014375 cites W3034343661 @default.
- W4285014375 cites W3035791417 @default.
- W4285014375 cites W3039137888 @default.
- W4285014375 cites W3040508291 @default.
- W4285014375 cites W3042763373 @default.
- W4285014375 cites W3046946081 @default.
- W4285014375 cites W3081392326 @default.
- W4285014375 cites W3091940685 @default.
- W4285014375 cites W3093047710 @default.
- W4285014375 cites W3093250679 @default.
- W4285014375 cites W3093610264 @default.
- W4285014375 cites W3096775062 @default.
- W4285014375 cites W3104810384 @default.
- W4285014375 cites W3105837102 @default.
- W4285014375 cites W3111786589 @default.
- W4285014375 cites W3120178178 @default.
- W4285014375 cites W3133191822 @default.
- W4285014375 cites W3134952515 @default.
- W4285014375 cites W3136188880 @default.
- W4285014375 cites W3145467992 @default.
- W4285014375 cites W3155963088 @default.
- W4285014375 cites W3166801429 @default.
- W4285014375 cites W3185861473 @default.
- W4285014375 cites W3201147556 @default.
- W4285014375 cites W3216484251 @default.
- W4285014375 cites W4280579777 @default.
- W4285014375 cites W4292546204 @default.
- W4285014375 doi "https://doi.org/10.1016/j.engappai.2022.105184" @default.
- W4285014375 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35846728" @default.
- W4285014375 hasPublicationYear "2022" @default.
- W4285014375 type Work @default.
- W4285014375 citedByCount "12" @default.
- W4285014375 countsByYear W42850143752022 @default.
- W4285014375 countsByYear W42850143752023 @default.
- W4285014375 crossrefType "journal-article" @default.
- W4285014375 hasAuthorship W4285014375A5003759585 @default.
- W4285014375 hasAuthorship W4285014375A5025640070 @default.