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Machine learning applications in placenta accreta spectrum disorders

24 Dec 2024

Abstract excerpt

This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 39845985
DOI: 10.1016/j.eurox.2024.100362

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