Application value of artificial intelligence quality control in improving the qualified rate of ultrasonic examination image of the thickness of nuchal translucency at 11+0 to 13+6 weeks
Application value of artificial intelligence quality control in improving the qualified rate of ultrasonic examination image of the thickness of nuchal translucency at 11+0 to 13+6 weeks
Objective To explore the application value of artificial intelligence(AI)quality control system in improving the standard rate of ultrasound images of nuchal translucency(NT)of fetus at 11～13+6 weeks gestation.Methods Using the"prenatal ultrasound AI smart cloud platform",the ultrasonic image quality of 1315 examiners who underwent NT ultrasound examination for 11～13+6 weeks in seven quarters from January 2021 to September 2022 in Longgang District Maternal and Child Health Hospital of Shenzhen was intelligently controlled,and the quality-controlled doctors made targeted improvements by consulting the quality control results and the shortcomings of the images.x2 test was used to compare the standard rate of images in seven quarters and evaluate the value of intelligent quality control in improving the qualified rate of images.Results The standard rates of fetal NT images in Longgang Maternal and Child Health Hospital of Shenzhen in seven quarters were 51.87％(250/482),65.02％(197/303),54.85％(407/742),68.72％(279/406),98.25％(336/342),94.74％(324/342)and 95.60％(391/409).respectively.It is suggested that the qualified rate of doctors'retained images increases gradually in each quarter.Conclusions The quality control of artificial intelligence can effectively improve the standard rate of NT ultrasound images in 11～13+6 weeks,and improve doctors'understanding of standard sections.
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