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PUMA-Net for Predicting Adverse Pregnancy Outcomes From First- and Second-Trimester Placental Ultrasound and Prepregnancy Body Mass Index: A Multicenter Study

2026-07-21

Abstract excerpt

<title>Abstract</title> <p>Objective Many adverse pregnancy outcomes (APOs) arise from placental dysfunction that begins before clinical disease is apparent. We developed PUMA-Net (Placental Ultrasound Multi-scale Attention Network), a deep learning model designed to extract subtle pathological information from routine placental ultrasound images, and examined whether combining image-derived risk with clinical v...

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Literature Corpus work
d88f3c7e-f98a-5fba-bb29-faf13d9f739a
DOI
10.21203/rs.3.rs-10222631/v1
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PUMA-Net for Predicting Adverse Pregnancy Outcomes From First- and Second-Trimester Placental Ultrasound and Prepregnancy Body Mass Index: A Multicenter StudyDOI 10.21203/rs.3.rs-10222631/v1
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