Predicting adverse perinatal outcomes in small-for-gestational-age fetuses using MRI, ultrasound, and clinical data

ML-based models integrating multimodal data may improve risk stratification for predicting adverse perinatal outcomes in FGR/SGA pregnancies.

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Publication Details

Journal
Radiology Advances
Published
2025-09-01
DOI
https://doi.org/10.1093/radadv/umaf030
Citations
1
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
3.49

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article

Predicting adverse perinatal outcomes in small-for-gestational-age fetuses using MRI, ultrasound, and clinical data

Bella Specktor‐Fadida, Bossmat Yehuda, Aviad Rabinowich, Leo Joskowicz et al.
1 citations
Radiology Advances
Fetal and Pediatric Neurological Disorders
3.49
article

Predicting adverse perinatal outcomes in small-for-gestational-age fetuses using MRI, ultrasound, and clinical data

Bella Specktor‐Fadida, Bossmat Yehuda, Aviad Rabinowich, Leo Joskowicz, Daphna Link‐Sourani, Jacky Herzlich, Aaron Olender, Dafna Ben Bashat, Maya Yanko, Yair Wexler, Bar Neeman, Liat Ben‐Sira, Karina Krajden Haratz, Liran Hiersch, A. Zilberman, Netanell Avisdris, Dana Schonberger, O Sadan, Tamir Graziani, Sharon Vanetik, Jayan Khawaja, Miriam Misochnik
article en
1 citations

Abstract

ML-based models integrating multimodal data may improve risk stratification for predicting adverse perinatal outcomes in FGR/SGA pregnancies.

Radiology AdvancesVol. 2(5)
Tel Aviv University (IL), Hebrew University of Jerusalem (IL), Tel Aviv Sourasky Medical Center (IL), Haifa Medical Center (IL), University of Haifa (IL)
Tel Aviv University
Openalex Percentile: Top 8%
Fetal and Pediatric Neurological Disorders
3.49
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