Antepartum prediction of shoulder dystocia using machine learning.
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| Title: | Antepartum prediction of shoulder dystocia using machine learning. |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41474475 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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