AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios

AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios

Abstract Background Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obst...

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Bibliographic Details
Main Authors: Raquel M. Zimmerman, Edgar J. Hernandez, Mark Yandell, Martin Tristani-Firouzi, Robert M. Silver, William Grobman, David Haas, George Saade, Jonathan Steller, Nathan R. Blue
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Pregnancy and Childbirth
Subjects:
Explainable artificial intelligence
Pregnancy
Fetal growth restriction
Stillbirth
Perinatal morbidity
Online Access:https://doi.org/10.1186/s12884-024-07095-6
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https://doi.org/10.1186/s12884-024-07095-6

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