Artificial Intelligence Based Ultrasound Screening for Antenatal Detection of Placenta Accreta Spectrum
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The authors aimed to determine whether a novel artificial intelligence model could effectively predict Placenta Accreta Spectrum (PAS) using 2D placental ultrasound images. Their study found that the AI model achieved an accuracy of 88%, with 100% sensitivity and 75% specificity, indicating its potential as a reliable screening tool for early diagnosis of PAS. The results suggest that this AI approach could improve antenatal detection rates, which currently remain low.
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