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Artificial intelligence is increasingly being studied for fetal ultrasound, including automated image-plane detection, biometric measurement and anomaly recognition. Early studies demonstrate that deep-learning systems can identify standard ultrasound planes and assist with measurements, potentially reducing operator variability and improving workflow. However, diagnostic performance in research datasets does not guarantee safe performance across different machines, operators, gestational ages or patient populations. For obstetricians, the most useful near-term role of AI is decision support: automated measurements or quality checks can help clinicians work more efficiently while the final interpretation remains under professional oversight. Validation should include prospective, multicenter testing and attention to false-negative findings because missed fetal anomalies have high clinical consequences. This evidence base supports cautious adoption of AI as an augmentation technology rather than replacement for expert obstetric ultrasound.
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Artificial intelligence is increasingly being studied for fetal ultrasound, including automated image-plane detection, biometric measurement and anomaly recognition. Early studies demonstrate that deep-learning systems can identify standard ultrasound planes and assist with measurements, potentially reducing operator variability and improving workflow. However, diagnostic performance in research datasets does not guarantee safe performance across different machines, operators, gestational ages or patient populations. For obstetricians, the most useful near-term role of AI is decision support: automated measurements or quality checks can help clinicians work more efficiently while the final interpretation remains under professional oversight. Validation should include prospective, multicenter testing and attention to false-negative findings because missed fetal anomalies have high clinical consequences. This evidence base supports cautious adoption of AI as an augmentation technology rather than replacement for expert obstetric ultrasound.
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