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This is a Systematic Review study.

Applications of artificial intelligence in fetal MRI: a systematic review

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AI integration significantly improves image quality, segmentation, and anomaly detection in fetal MRI, transforming prenatal diagnostics.
Out of 1587 articles, the review included 95 studies, focusing on segmentation (37%) and disease prediction (18%) in fetal MRI.
Segmentation models like convolutional neural networks often achieve over 90% accuracy, highlighting AI's potential in clinical settings.
Challenges such as data access and interpretability remain critical for AI's integration into routine prenatal care, emphasizing reproducibility.

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Systematic review shows artificial intelligence enhances segmentation and diagnostic accuracy in fetal MRI, suggesting improved prenatal care.

Hai et al. (2025) studied this question.

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Systematic review shows artificial intelligence enhances segmentation and diagnostic accuracy in fetal MRI, suggesting improved prenatal care.