Development and validation of a machine learning model for prediction of shoulder dystocia.

CONCLUSION: We developed a ML model for prediction of ShD. We externally validated the model performance in a different cohort. The model predicted ShD better than EFW+ maternal diabetes and was able to stratify the risk of ShD and neonatal injury in the context of suspected macrosomia. This article is protected by copyright. All rights reserved.
PMID: 31587401 [PubMed - as supplied by publisher]

Source: The Ultrasound Review of Obstetrics and Gynecology - October 5, 2019 Category: Radiology Authors: Tsur A, Batsry L, Toussia-Cohen S, Rosenstein MG, Barak O, Brezinov Y, Yoeli-Ullman R, Sivan E, Sirota M, Druzin ML, Stevenson DK, Blumenfeld YJ, Aran D Tags: Ultrasound Obstet Gynecol Source Type: research