Antepartum prediction of shoulder dystocia using machine learning.

Saved in:
Bibliographic Details
Title: Antepartum prediction of shoulder dystocia using machine learning.
Authors: Heresco L; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. lior160@gmail.com., Levy N; Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel., Todress O; Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel., Gluska H; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel., Biron-Shental T; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel., Weitzner O; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Source: Archives of gynecology and obstetrics [Arch Gynecol Obstet] 2025 Dec 31; Vol. 313 (1), pp. 3. Date of Electronic Publication: 2025 Dec 31.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 8710213 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-0711 (Electronic) Linking ISSN: 09320067 NLM ISO Abbreviation: Arch Gynecol Obstet 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: 41474475
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Antepartum prediction of shoulder dystocia using machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Heresco+L%22">Heresco L</searchLink>; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. lior160@gmail.com.<br /><searchLink fieldCode="AU" term="%22Levy+N%22">Levy N</searchLink>; Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.<br /><searchLink fieldCode="AU" term="%22Todress+O%22">Todress O</searchLink>; Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.<br /><searchLink fieldCode="AU" term="%22Gluska+H%22">Gluska H</searchLink>; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.<br /><searchLink fieldCode="AU" term="%22Biron-Shental+T%22">Biron-Shental T</searchLink>; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.<br /><searchLink fieldCode="AU" term="%22Weitzner+O%22">Weitzner O</searchLink>; Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with the Gray Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228710213%22">Archives of gynecology and obstetrics</searchLink> [Arch Gynecol Obstet] 2025 Dec 31; Vol. 313 (1), pp. 3. <i>Date of Electronic Publication: </i>2025 Dec 31.
– 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="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8710213 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-0711 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209320067%22">09320067 </searchLink><i>NLM ISO Abbreviation: </i>Arch Gynecol Obstet <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41474475
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00404-025-08271-5
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 3
    Titles:
      – TitleFull: Antepartum prediction of shoulder dystocia using machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Heresco L
      – PersonEntity:
          Name:
            NameFull: Levy N
      – PersonEntity:
          Name:
            NameFull: Todress O
      – PersonEntity:
          Name:
            NameFull: Gluska H
      – PersonEntity:
          Name:
            NameFull: Biron-Shental T
      – PersonEntity:
          Name:
            NameFull: Weitzner O
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 31
              M: 12
              Text: 2025 Dec 31
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1432-0711
          Numbering:
            – Type: volume
              Value: 313
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Archives of gynecology and obstetrics
              Type: main
ResultId 1