Machine learning models for estimating fetal weight based on ultrasonographic biometry: Development and validation study
Background Advances in machine learning (ML) offer an innovative approach to accurate fetal weight estimation by integrating multiple biometric and clinical variables. Objective To develop and validate ML models for estimating fetal weight using biometric data obtained via ultrasonography, evaluatin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251342012 |
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