{"id":"https://openalex.org/W4410959594","doi":"https://doi.org/10.1186/s12911-025-03048-x","title":"AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis","display_name":"AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4410959594","doi":"https://doi.org/10.1186/s12911-025-03048-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/40457275"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-03048-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03048-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03048-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":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03048-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shixin Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixin Yuan","raw_affiliation_strings":["School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004205846","display_name":"Zihuan Yang","orcid":"https://orcid.org/0000-0002-0244-3214"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihuan Yang","raw_affiliation_strings":["School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367664","display_name":"Junjie Li","orcid":"https://orcid.org/0000-0002-9274-9902"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Li","raw_affiliation_strings":["School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108349975","display_name":"Changde Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changde Wu","raw_affiliation_strings":["Department of Critical Care Medicine, Zhongda Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210009, People's Republic of China. njwu163@163.com","School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. njwu163@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Critical Care Medicine, Zhongda Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210009, People's Republic of China. njwu163@163.com","institution_ids":["https://openalex.org/I83519826"]},{"raw_affiliation_string":"School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. njwu163@163.com","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077752080","display_name":"Songqiao Liu","orcid":"https://orcid.org/0000-0002-1875-1131"},"institutions":[{"id":"https://openalex.org/I4210105806","display_name":"Zhongda Hospital Southeast University","ror":"https://ror.org/01k3hq685","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105806"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songqiao Liu","raw_affiliation_strings":["Department of Critical Care Medicine, Zhongda Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210009, People's Republic of China. liusongqiao@ymail.com","School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. liusongqiao@ymail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Critical Care Medicine, Zhongda Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210009, People's Republic of China. liusongqiao@ymail.com","institution_ids":["https://openalex.org/I4210105806","https://openalex.org/I83519826"]},{"raw_affiliation_string":"School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. liusongqiao@ymail.com","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077752080","https://openalex.org/A5108349975"],"corresponding_institution_ids":["https://openalex.org/I4210105806","https://openalex.org/I76569877","https://openalex.org/I83519826"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":30.1587,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.99813846,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"203","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9545000195503235,"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"}},"topics":[{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9545000195503235,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.03020000085234642,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.0017999999690800905,"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/health-informatics","display_name":"Health informatics","score":0.7511953115463257},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.5853798389434814},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.5302690267562866},{"id":"https://openalex.org/keywords/early-warning-system","display_name":"Early warning system","score":0.503964364528656},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46861347556114197},{"id":"https://openalex.org/keywords/early-warning-score","display_name":"Early warning score","score":0.4602140188217163},{"id":"https://openalex.org/keywords/patient-data","display_name":"Patient data","score":0.41850703954696655},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.4151252806186676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.370225191116333},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.19899892807006836},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.15016701817512512},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12609738111495972},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1066262423992157},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10251116752624512}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.7511953115463257},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5853798389434814},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.5302690267562866},{"id":"https://openalex.org/C2779296788","wikidata":"https://www.wikidata.org/wiki/Q5326904","display_name":"Early warning system","level":3,"score":0.503964364528656},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46861347556114197},{"id":"https://openalex.org/C2777671062","wikidata":"https://www.wikidata.org/wiki/Q6889402","display_name":"Early warning score","level":2,"score":0.4602140188217163},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.41850703954696655},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.4151252806186676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.370225191116333},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.19899892807006836},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.15016701817512512},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12609738111495972},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1066262423992157},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10251116752624512}],"mesh":[{"descriptor_ui":"D000075902","descriptor_name":"Clinical Deterioration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000075902","descriptor_name":"Clinical Deterioration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000075902","descriptor_name":"Clinical Deterioration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000075902","descriptor_name":"Clinical Deterioration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080162","descriptor_name":"Early Warning Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080162","descriptor_name":"Early Warning Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080162","descriptor_name":"Early Warning Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080162","descriptor_name":"Early Warning Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"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},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-03048-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03048-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03048-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:40457275","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40457275","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:60f87b811a934e13a87f8c7ec7ed7520","is_oa":true,"landing_page_url":"https://doaj.org/article/60f87b811a934e13a87f8c7ec7ed7520","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 1-8 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:10944994","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12131336","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-03048-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03048-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03048-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":[],"funders":[{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410959594.pdf","grobid_xml":"https://content.openalex.org/works/W4410959594.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1472453757","https://openalex.org/W1534181333","https://openalex.org/W1788004298","https://openalex.org/W2050915224","https://openalex.org/W2125435699","https://openalex.org/W2170892587","https://openalex.org/W2269837491","https://openalex.org/W2297622429","https://openalex.org/W2327639466","https://openalex.org/W2531269403","https://openalex.org/W2968723626","https://openalex.org/W3106297998","https://openalex.org/W3128049448","https://openalex.org/W4206287266","https://openalex.org/W4224298644","https://openalex.org/W4226272882","https://openalex.org/W4294124428","https://openalex.org/W4372233705","https://openalex.org/W4392004540"],"related_works":["https://openalex.org/W2019221308","https://openalex.org/W2366686155","https://openalex.org/W1044530532","https://openalex.org/W2383173999","https://openalex.org/W2899102479","https://openalex.org/W3125817379","https://openalex.org/W2369926976","https://openalex.org/W2381743810","https://openalex.org/W2349162035","https://openalex.org/W2402451758"],"abstract_inverted_index":{"BACKGROUND:":[0],"Clinical":[1],"deterioration":[2],"is":[3],"often":[4],"preceded":[5],"by":[6],"subtle":[7],"physiological":[8],"changes":[9],"that,":[10],"if":[11],"unheeded,":[12],"can":[13],"lead":[14],"to":[15,41,91,199,203],"adverse":[16],"patient":[17,47,173],"outcomes.":[18,48],"The":[19,163],"precision":[20],"of":[21,34,67,75,99,107,144,160,188],"traditional":[22],"scoring":[23],"systems":[24],"in":[25,57,130,153,157,175],"detecting":[26],"these":[27,189],"precursors":[28],"has":[29],"limitations,":[30],"prompting":[31],"the":[32,103,135,142,180,183],"exploration":[33],"AI-based":[35,88,117,167],"predictive":[36,43],"models":[37,89,118,146,170,190],"as":[38,74,196],"a":[39,127,154],"means":[40],"enhance":[42],"accuracy":[44],"and,":[45],"consequently,":[46],"METHODS:":[49],"A":[50,97],"systematic":[51],"review":[52],"and":[53,65,122,185],"meta-analysis":[54],"were":[55,69,80,137],"conducted":[56],"accordance":[58],"with":[59],"PRISMA":[60],"guidelines.":[61],"Databases":[62],"including":[63],"PubMed,":[64],"Web":[66],"Science":[68],"searched":[70],"for":[71],"relevant":[72],"studies":[73,101,114],"April":[76],"8,":[77],"2024.":[78],"Studies":[79],"selected":[81],"based":[82],"on":[83],"predefined":[84],"criteria,":[85,105],"specifically":[86],"targeting":[87],"designed":[90],"predict":[92],"in-hospital":[93,121],"clinical":[94,111,177],"deterioration.":[95],"RESULTS:":[96],"total":[98],"five":[100],"met":[102],"inclusion":[104],"all":[106],"which":[108],"underwent":[109],"prospective":[110],"validation.":[112],"These":[113],"demonstrated":[115],"that":[116,166],"significantly":[119],"reduced":[120],"30-day":[123],"mortality":[124],"rates.":[125],"Although":[126],"downward":[128],"trend":[129],"ICU":[131,158],"transfers":[132],"was":[133],"observed,":[134],"results":[136],"not":[138],"statistically":[139],"significant.":[140],"Additionally,":[141],"use":[143],"AI":[145,200],"shortened":[147],"overall":[148],"hospital":[149],"stays":[150],"but":[151],"resulted":[152],"significant":[155],"increase":[156],"length":[159],"stay.":[161],"CONCLUSION:":[162],"findings":[164],"suggest":[165],"early":[168],"warning":[169],"positively":[171],"impact":[172],"outcomes":[174],"real-world":[176,186],"settings.":[178],"Despite":[179],"potential":[181],"benefits,":[182],"effectiveness":[184],"applicability":[187],"require":[191],"further":[192],"research.":[193],"Challenges":[194],"such":[195],"clinician":[197],"adherence":[198],"warnings":[201],"remain":[202],"be":[204],"addressed.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":32},{"year":2025,"cited_by_count":9}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}