Antepartum prediction of shoulder dystocia using machine learning.

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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
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ISSN:1432-0711
DOI:10.1007/s00404-025-08271-5