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This article aims to assess the applications of artificial intelligence in obstetrics and its impact on patient outcomes and provider workflows.

The Guardian Algorithm: AI's Promise for Safer Childbirth

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This article aims to assess the applications of artificial intelligence in obstetrics and its impact on patient outcomes and provider workflows.
Comprehensive synthesis of literature on AI methodologies in obstetrics
Examination of key domains such as foetal monitoring and decision support
Addressing implementation challenges and educational needs for AI literacy
AI technologies improved foetal biometric measurements and anomaly screening in ultrasonography with high accuracy
AI-enhanced monitoring achieved classification accuracy over 96% in cardiotocography
Predictive models for adverse outcomes reported AUCs up to 0.99, indicating strong performance

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Review evaluates AI applications in obstetrics, focusing on diagnostic improvements and implementation challenges in perinatal care.

Dilmaghani et al. (2026) studied this question.

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