The performance of sonographic antenatal birth weight assessment assisted with artificial intelligence compared to that of manual examiners at term

The antenatal weight estimation by experienced specialists with high-level qualifications remains the gold standard and provides the highest precision. Nevertheless, the accuracy of this standard is less than 80% even after adjusting for daily weight gain. The tested AI-supported method exhibits high variability and requires optimization and validation before being reliably used in clinical practice.

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Institutions

Publication Details

Journal
Archives of Gynecology and Obstetrics
Published
2025-04-29
DOI
https://doi.org/10.1007/s00404-025-08042-2
Citations
2
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
4.11

Funders

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article

The performance of sonographic antenatal birth weight assessment assisted with artificial intelligence compared to that of manual examiners at term

Ammar Al Naimi, Marita Wasenitz, Franz Bahlmann, Alex Horky et al.
2 citations
Archives of Gynecology and Obstetrics
Pregnancy and preeclampsia studies
4.11
article

The performance of sonographic antenatal birth weight assessment assisted with artificial intelligence compared to that of manual examiners at term

Ammar Al Naimi, Marita Wasenitz, Franz Bahlmann, Alex Horky, C. Iacovella
article en
2 citations

Abstract

The antenatal weight estimation by experienced specialists with high-level qualifications remains the gold standard and provides the highest precision. Nevertheless, the accuracy of this standard is less than 80% even after adjusting for daily weight gain. The tested AI-supported method exhibits high variability and requires optimization and validation before being reliably used in clinical practice.

Archives of Gynecology and ObstetricsVol. 312(2)
Goethe University Frankfurt (DE), Bürgerhospital Frankfurt am Main (DE), University Hospital Frankfurt (DE)
Dr. Senckenbergische Stiftung
Good health and well-being
Openalex Percentile: Top 8%
Pregnancy and preeclampsia studies
4.11
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The performance of sonographic antenatal birth weight assessment assisted with artificial intelligence compared to that of manual examiners at term — Ammar Al Naimi, Marita Wasenitz, et al. · Archives of Gynecology and Obstetrics (2025) | TGRS Research Map | TGRS