人工智能质量控制平台对基层医院妇产科产前超声诊断水平的提升作用研究OA

Objective:To explore application value of artificial intelligence(AI)-based quality control platform in enhancing the obtained quality and consistency of standard cross-section of prenatal ultrasound in healthcare institutions of grassroots.Methods:A single center retrospective study was adopted in this study.The image data of 200 pregnant women,who underwent conventionally prenatal ultrasound examination at the Songjiang District Maternal and Child Health Hospital of Shanghai between January 2021 and February 2025,were selected.The prenatal ultrasound examination of 100 pregnant women during January 2021 and December 2022 adopted conventionally manual quality control(QC)mode,and other 100 pregnant women during March 2023 and February 2025 adopted AI-based QC mode to conduct prenatal ultrasound examination.The compliance rate of standard cross-section of ultrasound,and the compliance rate of images in critically diagnostic cross-section in different stages of pregnancy between two kinds of QC modes were compared.Results:The compliance rates of standard cross-section of ultrasound of adopting AI-based QC mode were respectively 88%(88/100),91%(91/100),84%(84/100),and 79%(79/100),all of which were higher than those of manual QC mode,and the differences were significant(x2=9.12,8.53,7.78,10.04,P<0.05).The compliance rate of images about the thalamic level,four-chamber heart,cervix long-axis,femur long-axis,and NT in critically diagnostic cross-section of ultrasound examination of pregnant women in adopting AI-based QC mode were all higher than those of manual QC mode,and the differences were significant(x2=9.01,8.95,8.12,7.89,11.24,P<0.05).Conclusion:The application of the AI quality control platform can effectively improve the ability of primary hospitals to obtain standard prenatal ultrasound sections and enhance image quality,thereby increasing the overall compliance rate of standard prenatal ultrasound sections,including key diagnostic sections.