International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles.
Omer Dor, Eran Ashwal, May Cohen, Ori Rottenstreich, Yariv Yogev, Noam Shomron, Misgav Rottenstreich
Published: 202510.1002/ijgo.70657
Abstract
OBJECTIVE: To assess whether machine learning (ML) offers improved birth weight prediction accuracy, since despite numerous models, the Hadlock formula remains the clinical standard. METHODS: A multicenter retrospective study analyzed data from 9674…
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