The application of artificial intelligence in blind ultrasound sweep diagnostics for prenatal medicine: A systematic literature review

AI-based blind sweep ultrasound holds transformative potential for global prenatal care, enabling scalable, low-cost diagnostics in LMICs and underserved settings. While promising, clinical adoption requires broader validation, improved interpretability, and integration into healthcare systems. With further development, this technology could significantly contribute to equitable prenatal diagnostics and reduced maternal-fetal morbidity worldwide.