View in EDS HTML Full Text PDF Full Text

Artificial intelligence based sonographic differentiation between skull fractures and normal sutures in young children.

Saved in:
Bibliographic Details
Title: Artificial intelligence based sonographic differentiation between skull fractures and normal sutures in young children.
Authors: Hankel S; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria., Till H; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria. holger.till@medunigraz.at., Schweintzger G; Department of Pediatrics, Hospital Hochsteiermark, Leoben, Austria., Kraxner C; Department of Pediatrics, Hospital Hochsteiermark, Leoben, Austria., Singer G; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria., Stranger N; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria., Till T; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria., Tschauner S; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria.
Source: Scientific reports [Sci Rep] 2025 Oct 23; Vol. 15 (1), pp. 37006. Date of Electronic Publication: 2025 Oct 23.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41131001
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Artificial intelligence based sonographic differentiation between skull fractures and normal sutures in young children.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Hankel+S%22">Hankel S</searchLink>; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Till+H%22">Till H</searchLink>; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria. holger.till@medunigraz.at.<br /><searchLink fieldCode="AU" term="%22Schweintzger+G%22">Schweintzger G</searchLink>; Department of Pediatrics, Hospital Hochsteiermark, Leoben, Austria.<br /><searchLink fieldCode="AU" term="%22Kraxner+C%22">Kraxner C</searchLink>; Department of Pediatrics, Hospital Hochsteiermark, Leoben, Austria.<br /><searchLink fieldCode="AU" term="%22Singer+G%22">Singer G</searchLink>; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Stranger+N%22">Stranger N</searchLink>; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Till+T%22">Till T</searchLink>; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Tschauner+S%22">Tschauner S</searchLink>; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Oct 23; Vol. 15 (1), pp. 37006. <i>Date of Electronic Publication: </i>2025 Oct 23.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41131001
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-025-09994-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 37006
    Titles:
      – TitleFull: Artificial intelligence based sonographic differentiation between skull fractures and normal sutures in young children.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hankel S
      – PersonEntity:
          Name:
            NameFull: Till H
      – PersonEntity:
          Name:
            NameFull: Schweintzger G
      – PersonEntity:
          Name:
            NameFull: Kraxner C
      – PersonEntity:
          Name:
            NameFull: Singer G
      – PersonEntity:
          Name:
            NameFull: Stranger N
      – PersonEntity:
          Name:
            NameFull: Till T
      – PersonEntity:
          Name:
            NameFull: Tschauner S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 10
              Text: 2025 Oct 23
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1