AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation

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dc.contributor.author Sigle, Manuel
dc.contributor.author Boos, Matthias
dc.contributor.author Rosenberger, Peter
dc.contributor.author Wunderlich, Robert
dc.contributor.author Gawaz, Meinrad Paul
dc.date.accessioned 2026-10-06T05:17:00Z
dc.date.available 2026-10-06T05:17:00Z
dc.date.issued 2026
dc.identifier.issn 2589-7500
dc.identifier.uri http://hdl.handle.net/10900/184086
dc.language.iso en de_DE
dc.publisher Amsterdam : Elsevier de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.landig.2025.100945 de_DE
dc.subject.ddc 004 de_DE
dc.subject.ddc 610 de_DE
dc.title AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation de_DE
dc.type Article de_DE
utue.quellen.id 20260422000000_00875
utue.personen.roh Sigle, Manuel
utue.personen.roh Boos, Matthias
utue.personen.roh Weiss, Tim
utue.personen.roh van Iersel, Mart
utue.personen.roh Nwafor-Okoli, Chinyere
utue.personen.roh McBeth, Paul
utue.personen.roh McMahon, Aisling
utue.personen.roh Maguire, Patricia B.
utue.personen.roh Rosenberger, Peter
utue.personen.roh Gawaz, Meinrad
utue.personen.roh Wunderlich, Robert
dcterms.isPartOf.ZSTitelID Lancet Digital Health de_DE
dcterms.isPartOf.ZS-Issue Article 100945 de_DE
dcterms.isPartOf.ZS-Volume 8 (1) de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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