Main findings
We developed an AI model to detect 12 types of CNS malformations in fetal ultrasound images by training on 37450 images from 15264 fetuses and testing on 812 images from 449 fetuses, our AI system achieves performance on par with expert doctors demonstrating an artificial intelligence capable of detecting congenital malformations with a level of competence comparable experience doctors. Furthermore, with AI system assistance, the performance of all the groups doctors get improved, especially for the trainee doctors.