{"id":"https://openalex.org/W4410401296","doi":"https://doi.org/10.1186/s12911-025-03010-x","title":"A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions","display_name":"A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions","publication_year":2025,"publication_date":"2025-05-15","ids":{"openalex":"https://openalex.org/W4410401296","doi":"https://doi.org/10.1186/s12911-025-03010-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/40375078"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-03010-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03010-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03010-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03010-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028291133","display_name":"Kuang-Ming Kuo","orcid":"https://orcid.org/0000-0002-8552-3016"},"institutions":[{"id":"https://openalex.org/I125934054","display_name":"National United University","ror":"https://ror.org/04twccc71","country_code":"TW","type":"education","lineage":["https://openalex.org/I125934054"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuang-Ming Kuo","raw_affiliation_strings":["Department of Business Management, National United University, No. 1, Lienda, Miaoli, 360301, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Management, National United University, No. 1, Lienda, Miaoli, 360301, Taiwan","institution_ids":["https://openalex.org/I125934054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104284756","display_name":"Chao Sheng Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091198","display_name":"E-Da Hospital","ror":"https://ror.org/00eh7f421","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091198"]},{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao Sheng Chang","raw_affiliation_strings":["Department of Emergency Medicine, E-Da Hospital, Kaohsiung City, Taiwan. zincfinger522@yahoo.com.tw","Department of Occupational Therapy, I-Shou University, Kaohsiung City, Taiwan. zincfinger522@yahoo.com.tw"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, E-Da Hospital, Kaohsiung City, Taiwan. zincfinger522@yahoo.com.tw","institution_ids":["https://openalex.org/I4210091198"]},{"raw_affiliation_string":"Department of Occupational Therapy, I-Shou University, Kaohsiung City, Taiwan. zincfinger522@yahoo.com.tw","institution_ids":["https://openalex.org/I98298690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":3.2993,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92513172,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"187","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.6657999753952026,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.6657999753952026,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.16099999845027924,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11095","display_name":"Emergency and Acute Care Studies","score":0.0340999998152256,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.7498149871826172},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5955761671066284},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.5514784455299377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5225034356117249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5119239091873169},{"id":"https://openalex.org/keywords/diagnostic-test","display_name":"Diagnostic test","score":0.41748297214508057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40152326226234436},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3224376440048218},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2632228434085846},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.17753690481185913},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.10392260551452637},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.09044307470321655}],"concepts":[{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.7498149871826172},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5955761671066284},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5514784455299377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5225034356117249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5119239091873169},{"id":"https://openalex.org/C82157600","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic test","level":2,"score":0.41748297214508057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40152326226234436},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3224376440048218},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2632228434085846},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.17753690481185913},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.10392260551452637},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.09044307470321655},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D003955","descriptor_name":"Diagnostic Tests, Routine","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D003955","descriptor_name":"Diagnostic Tests, Routine","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D003955","descriptor_name":"Diagnostic Tests, Routine","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D003955","descriptor_name":"Diagnostic Tests, Routine","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-03010-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03010-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03010-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:40375078","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40375078","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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:2816eb7b4d5a4944819367ae78a18743","is_oa":true,"landing_page_url":"https://doaj.org/article/2816eb7b4d5a4944819367ae78a18743","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-25 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12082892","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12082892","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-03010-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03010-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03010-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3061329067","display_name":null,"funder_award_id":"MOST-110-2410-H-239-015","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410401296.pdf","grobid_xml":"https://content.openalex.org/works/W4410401296.grobid-xml"},"referenced_works_count":115,"referenced_works":["https://openalex.org/W1951724000","https://openalex.org/W2003740803","https://openalex.org/W2034165365","https://openalex.org/W2092926517","https://openalex.org/W2167197080","https://openalex.org/W2195943384","https://openalex.org/W2262894855","https://openalex.org/W2414205703","https://openalex.org/W2524983454","https://openalex.org/W2766237762","https://openalex.org/W2788608859","https://openalex.org/W2789934887","https://openalex.org/W2810708119","https://openalex.org/W2884597820","https://openalex.org/W2889502200","https://openalex.org/W2898812155","https://openalex.org/W2907554860","https://openalex.org/W2907638671","https://openalex.org/W2909953525","https://openalex.org/W2913685752","https://openalex.org/W2929110666","https://openalex.org/W2944798169","https://openalex.org/W2947339359","https://openalex.org/W2952971376","https://openalex.org/W2953019443","https://openalex.org/W2954386942","https://openalex.org/W2969402355","https://openalex.org/W2984180898","https://openalex.org/W2989024456","https://openalex.org/W2998307466","https://openalex.org/W3009486139","https://openalex.org/W3011770729","https://openalex.org/W3011894293","https://openalex.org/W3014524604","https://openalex.org/W3014777889","https://openalex.org/W3018716842","https://openalex.org/W3024621094","https://openalex.org/W3043336426","https://openalex.org/W3044451687","https://openalex.org/W3082613412","https://openalex.org/W3086269023","https://openalex.org/W3092139388","https://openalex.org/W3093708470","https://openalex.org/W3095669050","https://openalex.org/W3097888422","https://openalex.org/W3106681350","https://openalex.org/W3112005101","https://openalex.org/W3117293081","https://openalex.org/W3118615836","https://openalex.org/W3121257277","https://openalex.org/W3130958407","https://openalex.org/W3155720539","https://openalex.org/W3155844405","https://openalex.org/W3158233097","https://openalex.org/W3159327786","https://openalex.org/W3160103039","https://openalex.org/W3163891330","https://openalex.org/W3172217053","https://openalex.org/W3183806682","https://openalex.org/W3184856471","https://openalex.org/W3188570429","https://openalex.org/W3197153878","https://openalex.org/W3197237731","https://openalex.org/W3200840849","https://openalex.org/W3203197867","https://openalex.org/W3203652557","https://openalex.org/W3207884352","https://openalex.org/W3210357843","https://openalex.org/W3210820305","https://openalex.org/W4200111552","https://openalex.org/W4221066550","https://openalex.org/W4226042904","https://openalex.org/W4226415810","https://openalex.org/W4280594175","https://openalex.org/W4283721048","https://openalex.org/W4284888208","https://openalex.org/W4287738992","https://openalex.org/W4293577696","https://openalex.org/W4295880818","https://openalex.org/W4296612842","https://openalex.org/W4304128779","https://openalex.org/W4306253101","https://openalex.org/W4306318949","https://openalex.org/W4306860307","https://openalex.org/W4307273749","https://openalex.org/W4307405815","https://openalex.org/W4309691163","https://openalex.org/W4310436536","https://openalex.org/W4310449140","https://openalex.org/W4313544936","https://openalex.org/W4313837637","https://openalex.org/W4317706481","https://openalex.org/W4317780979","https://openalex.org/W4318473465","https://openalex.org/W4319795444","https://openalex.org/W4321996746","https://openalex.org/W4323306396","https://openalex.org/W4360994991","https://openalex.org/W4362716803","https://openalex.org/W4377103365","https://openalex.org/W4378472098","https://openalex.org/W4378549703","https://openalex.org/W4383224587","https://openalex.org/W4385502364","https://openalex.org/W4385602843","https://openalex.org/W4386031170","https://openalex.org/W4386419984","https://openalex.org/W4386638280","https://openalex.org/W4386741522","https://openalex.org/W4387158005","https://openalex.org/W4387893406","https://openalex.org/W4387966812","https://openalex.org/W4389564434","https://openalex.org/W4389943391","https://openalex.org/W4391114238"],"related_works":["https://openalex.org/W4384345078","https://openalex.org/W2791973335","https://openalex.org/W2384709362","https://openalex.org/W2079855793","https://openalex.org/W4405668595","https://openalex.org/W2097386058","https://openalex.org/W2769982907","https://openalex.org/W2038659832","https://openalex.org/W4388536673","https://openalex.org/W4252242999"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,158,182,290],"rapid":[2],"advancement":[3],"of":[4,45,56,75,111,120,126,276,282,295],"Artificial":[5],"Intelligence":[6],"(AI)":[7],"has":[8],"led":[9],"to":[10,25,32,38,50,66,70,106,140,149,325,351,372,377],"its":[11],"widespread":[12],"application":[13],"across":[14],"various":[15],"domains,":[16],"showing":[17],"encouraging":[18],"outcomes.":[19],"Many":[20],"studies":[21,198],"have":[22,375],"utilized":[23],"AI":[24,76,153,166,272,283,296,314],"forecast":[26,33],"emergency":[27],"department":[28],"(ED)":[29],"disposition,":[30,80,300],"aiming":[31],"patient":[34],"outcomes":[35],"earlier":[36],"and":[37,85,97,129,172,179,188,207,223,243,249,262,271,320,356,374],"allocate":[39],"resources":[40],"better;":[41],"however,":[42],"a":[43,68],"dearth":[44],"comprehensive":[46],"review":[47,334,347,382],"literature":[48],"exists":[49],"assess":[51,71],"the":[52,72,116,132,196,232,280,346,352],"objective":[53],"performance":[54,294],"standards":[55],"these":[57],"predictive":[58,143,154,284,327],"models":[59,174,285],"using":[60,115],"quantitative":[61],"evaluations.":[62],"This":[63,332],"study":[64,159],"aims":[65],"conduct":[67],"meta-analysis":[69,291],"diagnostic":[73],"accuracy":[74],"in":[77,200,297,307,380],"predicting":[78,210,298],"ED":[79,287,299],"encompassing":[81],"admission,":[82,176],"critical":[83,177,230],"care,":[84,178,231],"mortality.":[86],"METHODS:":[87],"Multiple":[88],"databases,":[89],"including":[90],"Scopus,":[91],"Springer,":[92],"ScienceDirect,":[93],"PubMed,":[94],"Wiley,":[95],"Sage,":[96],"Google":[98],"Scholar,":[99],"were":[100,138,147,212,234,253],"searched":[101],"until":[102],"December":[103],"31,":[104],"2023,":[105],"gather":[107],"relevant":[108],"literature.":[109],"Risk":[110,119],"bias":[112],"was":[113,335,348],"assessed":[114],"Prediction":[117],"Model":[118],"Bias":[121],"Assessment":[122],"Tool.":[123],"Pooled":[124],"estimates":[125],"sensitivity,":[127,186,205],"specificity,":[128,187,206],"area":[130],"under":[131],"receiver":[133],"operating":[134],"characteristic":[135],"curve":[136],"(AUROC)":[137],"calculated":[139],"evaluate":[141],"AI's":[142,203],"performance.":[144,156],"Sub-group":[145],"analyses":[146],"performed":[148],"explore":[150,312],"covariates":[151,278],"affecting":[152],"model":[155,328],"RESULTS:":[157],"included":[160,199],"88":[161],"articles":[162],"possessed":[163],"with":[164,301,322,338],"117":[165],"models,":[167],"among":[168],"which":[169],"39,":[170],"45,":[171],"33":[173],"predicted":[175],"mortality,":[180,251],"respectively.":[181,228,267],"reported":[183],"statistics":[184],"for":[185,209,250,286,304,354,363],"AUROC":[189,208],"represent":[190],"pooled":[191],"summary":[192,204],"measures":[193],"derived":[194],"from":[195],"component":[197],"this":[201,385],"meta-analysis.":[202],"admission":[211],"0.81":[213],"(95%":[214,220,225,236,240,245,255,259,264],"Confidence":[215],"Interval":[216],"[CI]":[217],"0.74-0.86),":[218],"0.87":[219,224],"CI":[221,226,237,241,246,256,260,265],"0.81-0.91),":[222],"0.84-0.93),":[227],"For":[229],"values":[233],"0.86":[235],"0.79-0.91),":[238],"0.89":[239],"0.83-0.93),":[242],"0.93":[244,263],"0.89-0.95),":[247],"respectively,":[248],"they":[252],"0.85":[254],"0.80-0.89),":[257],"0.94":[258],"0.90-0.96),":[261],"0.89-0.96),":[266],"Emergent":[268],"sample":[269],"characteristics":[270],"techniques":[273,315],"showed":[274],"evidence":[275],"significant":[277],"influencing":[279],"heterogeneity":[281],"disposition.":[288],"CONCLUSIONS:":[289],"indicates":[292],"promising":[293],"certain":[302],"potential":[303],"improvement,":[305],"especially":[306],"sensitivity.":[308],"Future":[309],"research":[310],"could":[311],"advanced":[313],"such":[316],"as":[317],"ensemble":[318],"learning":[319],"cross-validation":[321],"hyper-parameter":[323],"tuning":[324],"enhance":[326],"efficacy.":[329],"TRIAL":[330],"REGISTRATION:":[331],"systematic":[333,381],"not":[336,360],"registered":[337],"PROSPERO":[339,357],"or":[340],"any":[341],"other":[342],"similar":[343],"registry":[344],"because":[345],"completed":[349],"prior":[350],"opportunity":[353],"registration,":[355],"currently":[358],"does":[359],"accept":[361],"registrations":[362],"reviews":[364],"that":[365],"are":[366,370],"already":[367],"completed.":[368],"We":[369],"committed":[371],"transparency":[373],"adhered":[376],"best":[378],"practices":[379],"methodology":[383],"throughout":[384],"study.":[386]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
