中国医学装备2026，Vol.23Issue(2)：94-97,4.DOI:10.3969/j.issn.1672-8270.2026.02.019
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
Effect of AI-based quality control platform on improving diagnostic level of prenatal ultrasound of department of obstetrics and gynecology in primary hospitals
摘要
Abstract
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.关键词
人工智能(AI)/质量控制/产前超声/标准切面/基层医疗Key words
Artificial intelligence(AI)/Quality control/Prenatal ultrasound/Standardized cross-section/Primary medicine分类
医药卫生引用本文复制引用
吴凤妹,高珊,徐婷婷,鲁凤..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[J].中国医学装备,2026,23(2):94-97,4.基金项目
上海市松江区科技攻关项目(2024SJKJGG14) Science and Technology Research Project of Songjiang District,Shanghai(2024SJKJGG14) （2024SJKJGG14）
