This paper introduces an artificial intelligence system (AIOC) designed to accurately detect fetal orofacial clefts from ultrasound images and simultaneously enhance the expertise of radiologists. Trained on a large, multi-center dataset, AIOC demonstrates expert-level diagnostic performance and significantly improves junior radiologists' sensitivity, offering a scalable solution for early diagnosis and medical education in resource-limited settings.