Artificial intelligence in the evaluation of the standard mid-sagittal view of fetal face in 11-13 +6 weeks of gestation / 中华超声影像学杂志

ABSTRACT

Objective:To explore the effectiveness of artificial intelligent (AI) quality control system on the standard mid-sagittal view of fetal face in 11-13 +6 weeks of gestation. Methods:The quality of the images was evaluated using online " Intelligent ultrasonic quality control system" for 1 063 sections of fetal Nuchal translucency ultrasound images in the Ultrasound Department of Shenzhen Maternity and Child Healthcare Hospital of Southern Medical University. The manual quality control results and time consuming of two experts were compared with AI. The gold standard was decided by experts group with higher seniority.Results:The overall standard rate, substandard rate and nonstandard rate of the image evaluated by the intelligent quality control system was 87.3%, 2.82%, and 9.88%. The overall accuracy of images was 96.6%. The coincidence rates between AI and the two experts were 96.1% and 96.3%, respectively, with strong consistency (Kappa were 0.835 and 0.845 respectively). The time required for intelligent quality control was significantly shorter than manual quality control (208 s vs 6 696 s/6 602 s). All the differences were statistically significant ( Z=-3.981, P<0.001). Conclusions:The intelligent quality control system could accurately and quickly evaluate whether the mid-sagittal view of fetal face in 11-13 +6 weeks of gestation is standard.