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Artificial intelligence for postpartum hemorrhage: a systematic review

BackgroundPostpartum hemorrhage (PPH) remains a leading cause of maternal morbidity and mortality, and conventional risk tools often rely on static factors that may miss rapidly evolving intrapartum events. Artificial intelligence (AI) offers data-driven, potentially dynamic approaches for PPH predi...

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Principais autores: Rawan AlSaad, Farah Yazbek, Thomas Farrell, Shima Albasha, Almayasa Al-Marri, Rajat Thomas
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2026-06-01
Serija:Frontiers in Global Women's Health
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Online dostop:https://www.frontiersin.org/articles/10.3389/fgwh.2026.1806220/full
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