{"id":"https://openalex.org/W4205273402","doi":"https://doi.org/10.1007/s10462-021-10106-z","title":"Using artificial intelligence technology to fight COVID-19: a review","display_name":"Using artificial intelligence technology to fight COVID-19: a review","publication_year":2022,"publication_date":"2022-01-03","ids":{"openalex":"https://openalex.org/W4205273402","doi":"https://doi.org/10.1007/s10462-021-10106-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/35002010"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-021-10106-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-021-10106-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-021-10106-z.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-021-10106-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yong Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Peng","raw_affiliation_strings":["Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China"],"affiliations":[{"raw_affiliation_string":"Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Enbin Liu","orcid":"https://orcid.org/0000-0002-8624-836X"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enbin Liu","raw_affiliation_strings":["Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China"],"affiliations":[{"raw_affiliation_string":"Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shanbi Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanbi Peng","raw_affiliation_strings":["School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500 China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500 China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qikun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qikun Chen","raw_affiliation_strings":["School of Engineering, Cardiff University, Cardiff, CF24 3AA UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Cardiff University, Cardiff, CF24 3AA UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dangjian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dangjian Li","raw_affiliation_strings":["Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China"],"affiliations":[{"raw_affiliation_string":"Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dianpeng Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianpeng Lian","raw_affiliation_strings":["Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China"],"affiliations":[{"raw_affiliation_string":"Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":4.6083,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95309528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"55","issue":"6","first_page":"4941","last_page":"4977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8928999900817871,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8928999900817871,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.008500000461935997,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.005499999970197678,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5465999841690063},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4860999882221222},{"id":"https://openalex.org/keywords/coronavirus","display_name":"Coronavirus","score":0.4790000021457672},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.3905999958515167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488000154495239},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5465999841690063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5102999806404114},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C2777648638","wikidata":"https://www.wikidata.org/wiki/Q57751738","display_name":"Coronavirus","level":5,"score":0.4790000021457672},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4560000002384186},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4115999937057495},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.3905999958515167},{"id":"https://openalex.org/C2988118331","wikidata":"https://www.wikidata.org/wiki/Q276099","display_name":"Technology development","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.28049999475479126},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2800999879837036},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.265500009059906}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10462-021-10106-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-021-10106-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-021-10106-z.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},{"id":"pmid:35002010","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35002010","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial intelligence review","raw_type":null},{"id":"pmh:oai:https://orca.cardiff.ac.uk:146737","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/146737/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8720541","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8720541","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Artif Intell Rev","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10462-021-10106-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-021-10106-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-021-10106-z.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205273402.pdf","grobid_xml":"https://content.openalex.org/works/W4205273402.grobid-xml"},"referenced_works_count":145,"referenced_works":["https://openalex.org/W1494363157","https://openalex.org/W1971396017","https://openalex.org/W1976581325","https://openalex.org/W2062941476","https://openalex.org/W2108171260","https://openalex.org/W2157328407","https://openalex.org/W2579725890","https://openalex.org/W2606157439","https://openalex.org/W2749450558","https://openalex.org/W2765742208","https://openalex.org/W2887196013","https://openalex.org/W2887766329","https://openalex.org/W2894996849","https://openalex.org/W2896002881","https://openalex.org/W2900471656","https://openalex.org/W2901411193","https://openalex.org/W2911462778","https://openalex.org/W2924911266","https://openalex.org/W2937243637","https://openalex.org/W2937384770","https://openalex.org/W2947820919","https://openalex.org/W2984904339","https://openalex.org/W2998720941","https://openalex.org/W2999044305","https://openalex.org/W3000934024","https://openalex.org/W3001897055","https://openalex.org/W3002539152","https://openalex.org/W3004039017","https://openalex.org/W3005879071","https://openalex.org/W3006643024","https://openalex.org/W3007497549","https://openalex.org/W3007944779","https://openalex.org/W3008145948","https://openalex.org/W3008401431","https://openalex.org/W3008443627","https://openalex.org/W3008913154","https://openalex.org/W3009468976","https://openalex.org/W3009625718","https://openalex.org/W3009983851","https://openalex.org/W3010270046","https://openalex.org/W3011056788","https://openalex.org/W3011072970","https://openalex.org/W3011149445","https://openalex.org/W3011999140","https://openalex.org/W3012038738","https://openalex.org/W3012054129","https://openalex.org/W3012798837","https://openalex.org/W3012847015","https://openalex.org/W3013056994","https://openalex.org/W3013125498","https://openalex.org/W3013601031","https://openalex.org/W3013758358","https://openalex.org/W3013960962","https://openalex.org/W3014561994","https://openalex.org/W3014672040","https://openalex.org/W3014725478","https://openalex.org/W3015771386","https://openalex.org/W3016242289","https://openalex.org/W3016488464","https://openalex.org/W3016787865","https://openalex.org/W3016966855","https://openalex.org/W3017117984","https://openalex.org/W3017141460","https://openalex.org/W3017267196","https://openalex.org/W3017403618","https://openalex.org/W3017451406","https://openalex.org/W3017644243","https://openalex.org/W3017855299","https://openalex.org/W3019283372","https://openalex.org/W3019531985","https://openalex.org/W3021234865","https://openalex.org/W3021303430","https://openalex.org/W3021613067","https://openalex.org/W3021622280","https://openalex.org/W3022251615","https://openalex.org/W3022285953","https://openalex.org/W3022300084","https://openalex.org/W3022787740","https://openalex.org/W3022885394","https://openalex.org/W3023618360","https://openalex.org/W3024021900","https://openalex.org/W3024647574","https://openalex.org/W3024773523","https://openalex.org/W3025352604","https://openalex.org/W3025520558","https://openalex.org/W3025899282","https://openalex.org/W3026715285","https://openalex.org/W3026931681","https://openalex.org/W3027270940","https://openalex.org/W3027422973","https://openalex.org/W3027682070","https://openalex.org/W3027763298","https://openalex.org/W3027794044","https://openalex.org/W3027908495","https://openalex.org/W3028070348","https://openalex.org/W3030677830","https://openalex.org/W3031641561","https://openalex.org/W3031759249","https://openalex.org/W3032017599","https://openalex.org/W3033100354","https://openalex.org/W3033616466","https://openalex.org/W3034533255","https://openalex.org/W3035884034","https://openalex.org/W3036552116","https://openalex.org/W3038000936","https://openalex.org/W3038130095","https://openalex.org/W3039182478","https://openalex.org/W3040518840","https://openalex.org/W3042711950","https://openalex.org/W3042796256","https://openalex.org/W3044023867","https://openalex.org/W3044443437","https://openalex.org/W3044548337","https://openalex.org/W3046261225","https://openalex.org/W3046413668","https://openalex.org/W3047463868","https://openalex.org/W3048828727","https://openalex.org/W3082280594","https://openalex.org/W3082456786","https://openalex.org/W3082692902","https://openalex.org/W3086039674","https://openalex.org/W3089349608","https://openalex.org/W3090219715","https://openalex.org/W3092074325","https://openalex.org/W3092581351","https://openalex.org/W3093277491","https://openalex.org/W3094517763","https://openalex.org/W3105081694","https://openalex.org/W3113855051","https://openalex.org/W3125804999","https://openalex.org/W3126992018","https://openalex.org/W3127885124","https://openalex.org/W3158392696","https://openalex.org/W3189251308","https://openalex.org/W3192600070","https://openalex.org/W3199766265","https://openalex.org/W3199799076","https://openalex.org/W6600041127","https://openalex.org/W6600529467","https://openalex.org/W6601013545","https://openalex.org/W6602245856","https://openalex.org/W6603287499","https://openalex.org/W6629414214","https://openalex.org/W6770038297","https://openalex.org/W6841626829"],"related_works":[],"abstract_inverted_index":{"In":[0],"late":[1],"December":[2],"2019,":[3],"a":[4,40,76,111,143],"new":[5,56,84,146],"type":[6],"of":[7,33,55,63,70,82,92,99,105,114,145],"coronavirus":[8,19,100],"was":[9,12],"discovered,":[10],"which":[11],"later":[13],"named":[14],"severe":[15],"acute":[16],"respiratory":[17],"syndrome":[18],"2(SARS-CoV-2).":[20],"Since":[21],"its":[22],"discovery,":[23],"the":[24,52,60,80,83,89,97,120],"virus":[25],"has":[26,38,74],"spread":[27,54],"globally,":[28],"with":[29,142],"2,975,875":[30],"deaths":[31],"as":[32],"15":[34],"April":[35],"2021,":[36],"and":[37,47,66,108,117,124,150],"had":[39],"huge":[41,77],"impact":[42],"on":[43],"our":[44],"health":[45],"systems":[46],"economy.":[48],"How":[49],"to":[50,79,137,148],"suppress":[51],"continued":[53],"coronary":[57],"pneumonia":[58],"is":[59,133],"main":[61,90,122],"task":[62],"many":[64],"scientists":[65],"researchers.":[67],"The":[68,128],"introduction":[69],"artificial":[71,93,139],"intelligence":[72,94,140],"technology":[73,95,141],"provided":[75],"contribution":[78],"suppression":[81,98],"coronavirus.":[85],"This":[86],"article":[87],"discusses":[88],"application":[91],"in":[96],"from":[101],"three":[102],"major":[103],"aspects":[104],"identification,":[106],"prediction,":[107],"development":[109,126],"through":[110],"large":[112],"amount":[113],"literature":[115],"research,":[116],"puts":[118],"forward":[119],"current":[121],"challenges":[123],"possible":[125],"directions.":[127],"results":[129],"show":[130],"that":[131],"it":[132],"an":[134],"effective":[135],"measure":[136],"combine":[138],"variety":[144],"technologies":[147],"predict":[149],"identify":[151],"COVID-19":[152],"patients.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-01-26T00:00:00"}
